[{"data":1,"prerenderedAt":660},["ShallowReactive",2],{"categories-init":3,"stack-cursor-dev-stack":4},true,{"stack_id":5,"slug":6,"name":7,"tagline":8,"long_description":9,"key_features":10,"use_cases":17,"pros":23,"cons":28,"cover_image_url":33,"scores":34,"options":48,"additions":281,"option_groups":558,"multi_select_option_types":559,"tools_by_category":560,"related_stacks":613,"faqs":614,"pricing":630,"system_requirements":33,"experience_level":653,"project_type":33,"stack_type_slug":654,"stack_type_icon_url":655,"published_date":111,"last_updated_date":33,"seo_meta":656},160,"cursor-dev-stack","Cursor Dev Stack","Cursor as editor and coding agent in one, with Grok by default and Claude, GPT, or Gemini a click away.","Cursor is an AI-native code editor built on VS Code, and it is also a **coding agent**: the same app that gives you Tab completions and a file tree can take a plain-language task, plan it, edit files across the codebase, and run terminal commands to check the result. On paid plans, **cloud agents** run the same agent in Cursor's own cloud machines, so a task keeps going with your computer off; you start and follow them from the web, the desktop app, the iOS app, Android through the web app, Slack, or a comment on GitHub or Linear. For most developers the editor and the agent are one product, which is why this stack has a single Cursor at its core rather than an editor plus a separate agent.\n\nModels are picked per chat from Cursor's own model picker. **Grok** is the default here, with generous Grok access included in Cursor's paid plan; Claude, OpenAI's GPT models, and Gemini sit in the same picker, and Cursor's own Composer model is included on every plan. Several can be in use at once: a fast model for everyday edits, and a stronger one for a hard refactor in another chat.\n\nA separate coding agent is an optional extra, not a replacement. Because Cursor runs VS Code extensions, you can optionally install the official **Claude Code** or Codex extension in its sidebar, or run an agent CLI such as OpenCode in Cursor's integrated terminal if you want one. That keeps Cursor's editor and Tab completions while another vendor's agent takes on a task. For version control, GitHub is the default, and Cursor pulls its pull-request context straight into chat; GitLab fits when source control has to be self-hosted.\n\n**Docker** and a CI\u002FCD pipeline are common next additions once a project outgrows one laptop: Docker for environment parity between development and production, and GitHub Actions or GitLab CI\u002FCD for tests that run on every push. Neither is needed to get started.",[11,12,13,14,15,16],"One app for editing and agentic work: Tab completions, chat, and an agent that edits files and runs commands","Grok by default, with Claude, GPT, and Gemini in the same model picker, chosen per chat","Cloud agents that keep working on background tasks after the laptop is closed","Optional Claude Code and Codex extensions, or any agent CLI in the integrated terminal","VS Code extension and keybinding compatibility, so existing setups carry over","Pull-request context from GitHub pulled straight into chat",[18,19,20,21,22],"Scaffolding a feature by describing it and letting the agent edit every file it touches","Switching between a fast model for small edits and a stronger one for a hard refactor","Handing a long-running task to a cloud agent while you keep working in the editor","Trying Claude Code or Codex on a task without leaving the editor you already use","Moving from VS Code to an AI-native editor without losing extensions or keybindings",[24,25,26,27],"Editor and agent in one product, with no separate tool to install to get started","Model choice across Grok, Claude, GPT, and Gemini from one subscription","Built on VS Code, so existing extensions and keybindings keep working","Other vendors' agents fit in through extensions or the terminal when you want them",[29,30,31,32],"Heavy use of premium models runs through plan limits faster than the default model","A separate agent like Claude Code or Codex needs its own subscription on top of Cursor's","Agent-written code still needs review; confident but wrong edits can slip through","Closed-source editor, so the workflow depends on Cursor's product decisions",null,{"popularity":35,"learning_curve":38,"flexibility":41,"performance":44,"portability":46},{"score":36,"reasoning":37},5,"Cursor is the most widely adopted AI-native editor, known to developers well outside AI-focused teams.",{"score":39,"reasoning":40},1,"Anyone who has used VS Code is productive on day one: the agent and chat work from plain-language requests, and adding a separate agent later is an extension install.",{"score":42,"reasoning":43},4,"Four model providers in one picker, optional third-party agents through extensions or the terminal, and full VS Code extension support, within a closed-source editor whose core behavior is Cursor's to decide.",{"score":42,"reasoning":45},"Tab completions are near-instant and cloud agents move long tasks off the local machine, though large-context requests on big codebases slow responses down.",{"score":42,"reasoning":47},"Projects are plain files and git history, and the editor keeps VS Code's settings and extensions, so moving to another editor or agent costs little beyond Cursor-specific rules and habits.",{"database":49,"orm":53,"authentication":57,"analytics":61,"coding_agent":65,"llm":69,"language":185,"frontend_framework":189,"cms":193,"hosting":197,"reverse_proxy":201,"self_hosted_paas":205,"version_control":209},{"tools":50,"descriptions":51,"aliases":52,"see_all":33},[],{},{},{"tools":54,"descriptions":55,"aliases":56,"see_all":33},[],{},{},{"tools":58,"descriptions":59,"aliases":60,"see_all":33},[],{},{},{"tools":62,"descriptions":63,"aliases":64,"see_all":33},[],{},{},{"tools":66,"descriptions":67,"aliases":68,"see_all":33},[],{},{},{"tools":70,"descriptions":176,"aliases":181,"see_all":182},[71,112,134,155],{"tool_id":5,"name":72,"slug":73,"tooltip_description":74,"logo_url":75,"logo_bg":76,"pricing_model":77,"learning_curve_score":81,"popularity_score":82,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":84,"subcategory":88,"categories":92,"subcategories":95,"flexibility_score":82,"performance_score":42,"portability_score":81,"is_featured":97,"tags":98,"score_reasonings":104,"published_date":110,"last_updated_date":111},"Grok","grok","SpaceXAI's (formerly xAI) family of large language models, led by Grok 4.7, with real-time X data access, Grok Imagine image and video generation, and voice models, available through its API, grok.com, and X subscriptions.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgrok.svg","white",{"slug":78,"display_name":79,"description":80},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.",2,3,"open",{"category_id":85,"name":86,"slug":87},19,"LLM","llm",{"subcategory_id":89,"name":90,"slug":91},51,"Proprietary","proprietary",[93],{"category_id":85,"name":86,"slug":87,"is_primary":3,"display_order":94},0,[96],{"subcategory_id":89,"name":90,"slug":91,"category_id":85,"is_primary":3,"display_order":94},false,[99],{"tag_id":100,"name":101,"slug":102,"tag_type":103},40,"Web","web","platform",{"learning_curve":105,"flexibility":106,"performance":107,"popularity":108,"portability":109},"The xAI API is OpenAI SDK-compatible — developers who know the OpenAI messages format only need to change the base URL and API key. Documentation is clear and concise.","Strong model range (mini to heavy), reasoning modes, tool use, vision, and image generation. Real-time X data access is a flexible differentiator for many use cases. However, no fine-tuning, no multi-cloud hosting, and per-call tool fees add friction.","Grok 4 and Grok 4 Heavy are competitive at the frontier on reasoning and coding benchmarks. Grok 3 Mini Reasoning (high) punches above its price point. The 2M-token context window on Grok 4.1 Fast is industry-leading. Slightly behind Claude Opus 4 and GPT-4o on some evals as of May 2026.","X platform integration gives Grok massive consumer reach, but the developer API ecosystem is smaller than OpenAI or Anthropic. Growing fast but still behind in GitHub integrations, third-party tooling, and community resources.","Proprietary model accessed exclusively via the xAI API (api.x.ai). Not available on AWS Bedrock, Google Vertex, or Azure. OpenAI SDK compatibility reduces code-level lock-in, but the models themselves cannot be self-hosted or migrated to another provider.","2026-05-29","2026-09-27",{"tool_id":113,"name":114,"slug":115,"tooltip_description":116,"logo_url":117,"logo_bg":118,"pricing_model":119,"learning_curve_score":81,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":120,"subcategory":121,"categories":122,"subcategories":124,"flexibility_score":42,"performance_score":36,"portability_score":82,"is_featured":97,"tags":126,"score_reasonings":128,"published_date":110,"last_updated_date":111},153,"Claude","claude","Anthropic's family of AI models, from fast Haiku to frontier Fable, available through the Claude API, Amazon Bedrock, Google Vertex AI, Microsoft Foundry, and claude.ai, known for long context, tool use, and extended thinking.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fclaude.svg","dark",{"slug":78,"display_name":79,"description":80},{"category_id":85,"name":86,"slug":87},{"subcategory_id":89,"name":90,"slug":91},[123],{"category_id":85,"name":86,"slug":87,"is_primary":3,"display_order":94},[125],{"subcategory_id":89,"name":90,"slug":91,"category_id":85,"is_primary":3,"display_order":94},[127],{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":129,"flexibility":130,"performance":131,"popularity":132,"portability":133},"The Anthropic API follows the standard messages array pattern familiar from other LLM providers. Python and TypeScript SDKs are well-documented. Basic integration takes under an hour.","Supports tool use, vision, extended thinking, prompt caching, batch processing, streaming, and system prompts. No fine-tuning and no image output limits the ceiling. Multi-cloud availability adds operational flexibility.","Claude 4 Opus and Sonnet 4 are at the frontier of reasoning and coding benchmarks as of 2025. Extended thinking mode significantly improves accuracy on hard problems. Competitive with GPT-4o and Gemini Ultra across most evaluation suites.","Claude is one of the two or three most-referenced LLMs in developer communities worldwide. Massive adoption via Claude.ai, API, Bedrock, and Vertex AI. Powers Claude Code, Cursor (optional model), and many third-party AI products.","Anthropic API uses its own message format and tool-calling schema — not OpenAI-compatible. Migrating to\u002Ffrom Claude requires prompt and schema rewrites. Available on Bedrock and Vertex AI reduces infrastructure lock-in but does not eliminate model lock-in.",{"tool_id":135,"name":136,"slug":137,"tooltip_description":138,"logo_url":139,"logo_bg":76,"pricing_model":140,"learning_curve_score":81,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":141,"subcategory":142,"categories":143,"subcategories":145,"flexibility_score":82,"performance_score":36,"portability_score":81,"is_featured":97,"tags":147,"score_reasonings":149,"published_date":110,"last_updated_date":111},155,"OpenAI","openai","OpenAI's API platform for the GPT-6 family (Astra, Sol, Luna), Codex coding models, real-time voice, image generation, and embeddings, with tool use, structured outputs, and fine-tuning.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopenai.svg",{"slug":78,"display_name":79,"description":80},{"category_id":85,"name":86,"slug":87},{"subcategory_id":89,"name":90,"slug":91},[144],{"category_id":85,"name":86,"slug":87,"is_primary":3,"display_order":94},[146],{"subcategory_id":89,"name":90,"slug":91,"category_id":85,"is_primary":3,"display_order":94},[148],{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"performance":150,"popularity":151,"portability":152,"learning_curve":153,"flexibility":154},"Leads or co-leads industry benchmarks across coding (SWE-bench), reasoning (MATH, GPQA), and instruction-following. o3 and GPT-5 are best-in-class for their respective task types as of 2026.","The most-used LLM API in the world by developer count, third-party integrations, and mindshare. ChatGPT's cultural reach directly drives API adoption. Virtually every developer tool, no-code platform, and enterprise software suite lists OpenAI as a primary integration.","Entirely cloud-bound; no self-hosted option. The API is proprietary — migrating to a different provider requires rewriting prompt logic, tool schemas, and API call structure. Azure and Bedrock availability reduces cloud lock-in but not provider lock-in.","The Chat Completions API is one of the most beginner-friendly interfaces in software — a single POST request with a messages array returns a completion. Official SDKs for Python and Node ship with comprehensive docs and hundreds of cookbook examples. The main learning curve is choosing the right model family and managing costs rather than the API mechanics themselves.","OpenAI offers genuine breadth — five model families, fine-tuning (supervised + reinforcement), function calling, structured outputs, and real-time audio. However, all inference is cloud-only and proprietary; you cannot swap the underlying model weights, run locally, or choose your hardware. Compared to open-weight alternatives, customisation stops at fine-tuning.",{"tool_id":156,"name":157,"slug":158,"tooltip_description":159,"logo_url":160,"logo_bg":118,"pricing_model":161,"learning_curve_score":81,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":162,"subcategory":163,"categories":164,"subcategories":166,"flexibility_score":42,"performance_score":36,"portability_score":81,"is_featured":97,"tags":168,"score_reasonings":170,"published_date":110,"last_updated_date":111},159,"Google Gemini","google-gemini","Google's LLM API with a full model family, from low-cost Flash-Lite to the Gemini 3.1 Pro flagship, with 1M-token context, native multimodal input, a free tier in AI Studio, and enterprise access through Google Cloud.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgoogle-gemini.svg",{"slug":78,"display_name":79,"description":80},{"category_id":85,"name":86,"slug":87},{"subcategory_id":89,"name":90,"slug":91},[165],{"category_id":85,"name":86,"slug":87,"is_primary":3,"display_order":94},[167],{"subcategory_id":89,"name":90,"slug":91,"category_id":85,"is_primary":3,"display_order":94},[169],{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":171,"flexibility":172,"performance":173,"popularity":174,"portability":175},"Getting started is exceptionally frictionless — Google AI Studio requires only a Google account, no billing setup. The API follows standard REST conventions with well-maintained Python and JavaScript SDKs. The learning curve is low for basic usage; more advanced features like Vertex AI agent orchestration, grounding configuration, and context caching add moderate complexity.","Broad model selection (Flash-Lite to 3.1 Pro), native multimodal capabilities, function calling, structured output, code execution, and grounding with Search cover a wide range of use cases. Vertex AI adds fine-tuning and custom grounding sources. The main flexibility constraint is that all models are proprietary and cloud-hosted — no self-hosting or weights access.","Gemini 3.1 Pro leads on ARC-AGI-2 (77.1%) and outperforms GPT-5.4 on GPQA Diamond. Gemini 2.5 Flash consistently benchmarks near the top of its price tier. The 1M+ token context window is unmatched for long-document tasks. Competitive with the best frontier models across reasoning, code, and multimodal tasks as of 2026.","750M+ consumer Gemini users by early 2026 and 13M developers reported building with Google's generative models. API request volume hit 85B in January 2026 (142% YoY growth). Strong and accelerating, but OpenAI maintains a larger developer ecosystem and ChatGPT holds ~65% consumer chatbot market share vs Gemini's ~21%.","Deeply tied to Google infrastructure — the API is available only through Google AI Studio or Vertex AI (GCP). No open weights, no self-hosting, no third-party deployment. Moving workloads to another provider requires prompt re-testing and SDK changes. Vertex AI features (grounding, residency controls, agent orchestration) deepen GCP lock-in further.",{"grok":177,"claude":178,"openai":179,"google-gemini":180},"Grok is the default model here: xAI's models are Cursor's headline option, with generous Grok usage included in the paid plan, and they're fast enough for everyday edits and agent tasks. Cursor's own Composer model, included on every plan, sits alongside it in the picker.","Claude models are a common pick for large multi-file changes and careful reasoning about unfamiliar code. Switch to Claude per chat when a task needs more deliberation than speed; premium models draw down Cursor's plan usage faster than the default, so heavy use fits the Pro+ or Ultra tiers.","OpenAI's GPT models sit in the same picker, useful for a second opinion when one model gets stuck, or for teams already standardized on OpenAI. They're billed through Cursor's plan, so there's no separate OpenAI account to manage.","Gemini's long context window suits questions that span the whole repository, like tracing a data flow or planning a large migration, and its Flash models are a fast, lower-cost pick for routine edits inside Cursor's plan limits.",{},{"kind":183,"slug":87,"name":86,"href":184},"category","\u002Ftools\u002Fcategories\u002Fllm",{"tools":186,"descriptions":187,"aliases":188,"see_all":33},[],{},{},{"tools":190,"descriptions":191,"aliases":192,"see_all":33},[],{},{},{"tools":194,"descriptions":195,"aliases":196,"see_all":33},[],{},{},{"tools":198,"descriptions":199,"aliases":200,"see_all":33},[],{},{},{"tools":202,"descriptions":203,"aliases":204,"see_all":33},[],{},{},{"tools":206,"descriptions":207,"aliases":208,"see_all":33},[],{},{},{"tools":210,"descriptions":277,"aliases":280,"see_all":33},[211,251],{"tool_id":212,"name":213,"slug":214,"tooltip_description":215,"logo_url":216,"logo_bg":76,"pricing_model":217,"learning_curve_score":82,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":221,"subcategory":225,"categories":229,"subcategories":231,"flexibility_score":42,"performance_score":82,"portability_score":81,"is_featured":97,"tags":233,"score_reasonings":245,"published_date":110,"last_updated_date":111},151,"GitHub","github","The largest Git hosting platform, where well over 100 million developers collaborate, review code, and manage projects through pull requests, issues, and a large integration ecosystem.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgithub.svg",{"slug":218,"display_name":219,"description":220},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.",{"category_id":222,"name":223,"slug":224},8,"Development Tools","development-tools",{"subcategory_id":226,"name":227,"slug":228},50,"Version Control","version-control",[230],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[232],{"subcategory_id":226,"name":227,"slug":228,"category_id":222,"is_primary":3,"display_order":94},[234,239,244],{"tag_id":235,"name":236,"slug":237,"tag_type":238},36,"CI\u002FCD","ci-cd","use_case",{"tag_id":240,"name":241,"slug":242,"tag_type":243},13,"Free Tier","free-tier","feature",{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":246,"flexibility":247,"performance":248,"popularity":249,"portability":250},"GitHub's UI is intuitive, but mastering Git concepts (rebasing, merge conflicts, branching strategies) and collaborative pull request workflows takes meaningful time — rated moderate difficulty.","Highly customisable branch protection, review policies, webhooks, and an extensive API\u002Fapp ecosystem. Some advanced governance features are gated behind paid tiers.","Generally reliable with 99.9% SLA for Enterprise, but the platform experienced capacity-related reliability incidents in 2025–2026 driven by AI agent traffic, pulling uptime below target.","Dominant market leader with ~70% SCM market share, 180M+ registered developers, 92% adoption among Fortune 100 companies. Effectively the industry default.","High vendor lock-in: GitHub Actions workflows, Projects, Packages, and Advanced Security are proprietary. Migrating a Git repo is easy; migrating the full workflow is not.",{"tool_id":252,"name":253,"slug":254,"tooltip_description":255,"logo_url":256,"logo_bg":76,"pricing_model":257,"learning_curve_score":81,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":258,"subcategory":259,"categories":260,"subcategories":262,"flexibility_score":36,"performance_score":82,"portability_score":36,"is_featured":97,"tags":264,"score_reasonings":271,"published_date":110,"last_updated_date":111},152,"GitLab","gitlab","An open-source, all-in-one DevSecOps platform offering Git hosting, code review, issue tracking, and built-in CI\u002FCD — available as a SaaS service or fully self-hosted.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgitlab.svg",{"slug":218,"display_name":219,"description":220},{"category_id":222,"name":223,"slug":224},{"subcategory_id":226,"name":227,"slug":228},[261],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[263],{"subcategory_id":226,"name":227,"slug":228,"category_id":222,"is_primary":3,"display_order":94},[265,266,270],{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":267,"name":268,"slug":269,"tag_type":243},12,"Self-hostable","self-hostable",{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":272,"flexibility":273,"performance":274,"popularity":275,"portability":276},"Feature breadth is GitLab's biggest onboarding challenge — new users face pipelines, boards, security dashboards, and compliance tools all at once. Rated steep.","Highly flexible: customisable CI\u002FCD pipelines, branch protection, merge request approvals, REST\u002FGraphQL APIs, and full self-hosting. One of the most configurable platforms in its class.","Cloud performance is solid but not best-in-class; complex pipelines and large self-hosted deployments can lag. Rated average for its category.","16% SCM market share — firmly the second-largest platform globally, Gartner Magic Quadrant leader for DevOps, but well behind GitHub's ~70% dominance.","Open-source MIT licence with fully self-hostable CE and FOSS mirror. No vendor lock-in — highest portability score in its category.",{"github":278,"gitlab":279},"GitHub is the default here: the largest pull-request and Actions ecosystem, and Cursor's GitHub integration pulls pull-request context straight into chat and the agent.","GitLab bundles source control, merge requests, and CI\u002FCD in one self-hostable platform, the natural pick for teams standardized on GitLab or that need code and pipeline data to stay on their own infrastructure.",{},{"coding_agent":282,"code_review":366,"ci_cd":446,"containerization":519},{"tools":283,"descriptions":357,"aliases":361,"preface":362,"see_all":363},[284,309,331],{"tool_id":285,"name":286,"slug":287,"tooltip_description":288,"logo_url":117,"logo_bg":118,"pricing_model":289,"learning_curve_score":82,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":290,"subcategory":291,"categories":295,"subcategories":297,"flexibility_score":36,"performance_score":42,"portability_score":42,"is_featured":97,"tags":299,"score_reasonings":303,"published_date":110,"last_updated_date":111},16,"Claude Code","claude-code","Claude Code is Anthropic's agentic coding tool that runs in your terminal and IDEs, reads your entire codebase, edits files, runs commands, and handles git workflows through natural language. It supports multi-agent orchestration, MCP integrations, and custom automation via CLAUDE.md and hooks.",{"slug":218,"display_name":219,"description":220},{"category_id":222,"name":223,"slug":224},{"subcategory_id":292,"name":293,"slug":294},49,"AI Coding Agents","ai-coding-agents",[296],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[298],{"subcategory_id":292,"name":293,"slug":294,"category_id":222,"is_primary":3,"display_order":94},[300],{"tag_id":285,"name":301,"slug":302,"tag_type":243},"AI-powered","ai-powered",{"learning_curve":304,"performance":305,"flexibility":306,"portability":307,"popularity":308},"Agentic CLI workflow is new for most developers; hooks, context, and permissions take time.","Lightweight terminal CLI; very responsive with no significant overhead beyond API latency.","Hooks, custom slash commands, MCP servers, and the Agent SDK provide deep extensibility.","CLI tool with standard terminal workflow; hooks and commands are reasonably portable.","The most widely discussed AI coding agent as of 2025\u002F2026; very high developer mindshare.",{"tool_id":310,"name":311,"slug":312,"tooltip_description":313,"logo_url":314,"logo_bg":118,"pricing_model":315,"learning_curve_score":82,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":316,"subcategory":317,"categories":318,"subcategories":320,"flexibility_score":82,"performance_score":36,"portability_score":81,"is_featured":97,"tags":322,"score_reasonings":325,"published_date":110,"last_updated_date":111},150,"Codex","codex","OpenAI's cloud-based AI coding agent that autonomously builds features, fixes bugs, and runs tests in isolated sandboxes — available via ChatGPT, CLI, desktop app, and IDE extensions.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcodex.svg",{"slug":218,"display_name":219,"description":220},{"category_id":222,"name":223,"slug":224},{"subcategory_id":292,"name":293,"slug":294},[319],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[321],{"subcategory_id":292,"name":293,"slug":294,"category_id":222,"is_primary":3,"display_order":94},[323,324],{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":326,"flexibility":327,"performance":328,"popularity":329,"portability":330},"Basic task creation via natural language is straightforward, but designing effective multi-step agent workflows, debugging sandbox failures, and managing parallel task coordination requires real practice. Score 3.","Cloud-first architecture limits self-hosting; task environments can be customised via setup scripts and env vars, but core agent behaviour is proprietary and not deeply configurable. Score 3.","Powered by codex-1 (o3-based), which leads SWE-bench and real-world coding benchmarks. Parallel execution eliminates sequential bottlenecks. Best-in-class for agentic coding tasks as of 2026. Score 5.","67K GitHub stars on the open-source Codex CLI within its first year; reported 2M+ weekly active users across ChatGPT plans. Strong enterprise adoption but newer than incumbents like Cursor. Score 4.","Task execution is entirely cloud-bound on OpenAI infrastructure. Generated code and PR diffs are portable, but the agent itself cannot be self-hosted or migrated to another provider. Score 2.",{"tool_id":332,"name":333,"slug":334,"tooltip_description":335,"logo_url":336,"logo_bg":76,"pricing_model":337,"learning_curve_score":82,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":338,"subcategory":339,"categories":340,"subcategories":342,"flexibility_score":36,"performance_score":42,"portability_score":36,"is_featured":97,"tags":344,"score_reasonings":351,"published_date":111,"last_updated_date":33},192,"OpenCode","opencode","Open-source, model-agnostic AI coding agent for the terminal, IDE, and desktop — the largest independent alternative to Claude Code, with no vendor lock-in to a single model provider.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopencode.svg",{"slug":218,"display_name":219,"description":220},{"category_id":222,"name":223,"slug":224},{"subcategory_id":292,"name":293,"slug":294},[341],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[343],{"subcategory_id":292,"name":293,"slug":294,"category_id":222,"is_primary":3,"display_order":94},[345,349,350],{"tag_id":346,"name":347,"slug":348,"tag_type":243},11,"Open Source","open-source",{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":285,"name":301,"slug":302,"tag_type":243},{"learning_curve":352,"flexibility":353,"performance":354,"popularity":355,"portability":356},"Getting a first session running is a quick `npm install` plus an API key, but making full use of Build\u002FPlan modes, MCP\u002FLSP integration, and choosing among 75+ providers involves more configuration surface than a single-model vendor tool.","Bring-your-own-model architecture, custom tools and plugins, configurable permissions\u002Fkeybinds\u002Fformatters, and MCP\u002FLSP support give it wide-open extensibility with essentially no imposed workflow.","Output quality tracks whichever underlying model is configured rather than a fixed baseline — with a strong model (e.g. Claude or GPT) selected, it performs competitively with leading vendor agents, but there's no single benchmark number the way there is for a single-model product.","Roughly 198K GitHub stars and 900+ contributors as of mid-2026, reported 7.5M+ monthly users — the most-starred project in the open-source AI coding agent space, ahead of every other independent (non-vendor) entrant.","MIT-licensed, installable via npm\u002FHomebrew\u002FDocker, no code stored on OpenCode's servers, and not tied to any single model provider — among the least locked-in options in the subcategory.",{"claude-code":358,"codex":359,"opencode":360},"Add Claude Code when you want Anthropic's agent on a task without leaving Cursor: its official extension installs in the sidebar, or run the CLI in the integrated terminal. It needs its own Claude plan.","Add Codex when you want OpenAI's agent alongside Cursor's: the official Codex extension works in Cursor as it does in VS Code, and it runs on a ChatGPT plan you may already have.","Add OpenCode in Cursor's integrated terminal when you want an open-source agent that runs any provider's model with your own API key, including cheaper open-weight ones.",{},"Add a separate coding agent when you want another vendor's agent working alongside the one built into the editor, either through its own extension or in the integrated terminal.",{"kind":364,"slug":294,"name":293,"href":365},"subcategory","\u002Ftools\u002Fcategories\u002Fdevelopment-tools\u002Fai-coding-agents",{"tools":367,"descriptions":440,"aliases":444,"preface":445,"see_all":33},[368,393,416],{"tool_id":369,"name":370,"slug":371,"tooltip_description":372,"logo_url":373,"logo_bg":118,"pricing_model":374,"learning_curve_score":39,"popularity_score":82,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":375,"subcategory":376,"categories":380,"subcategories":382,"flexibility_score":82,"performance_score":42,"portability_score":81,"is_featured":97,"tags":384,"score_reasonings":387,"published_date":111,"last_updated_date":33},286,"Cursor Bugbot","cursor-bugbot","Cursor's AI pull request reviewer, which runs as a GitHub or GitLab app and flags logic bugs, edge cases, and security issues on each PR. It works on any repository, whether or not the code was written in Cursor.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcursor-bugbot.svg",{"slug":78,"display_name":79,"description":80},{"category_id":222,"name":223,"slug":224},{"subcategory_id":377,"name":378,"slug":379},73,"AI Code Review","ai-code-review",[381],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[383],{"subcategory_id":377,"name":378,"slug":379,"category_id":222,"is_primary":3,"display_order":94},[385,386],{"tag_id":285,"name":301,"slug":302,"tag_type":243},{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":388,"flexibility":389,"performance":390,"popularity":391,"portability":392},"Enabling it is a toggle in the Cursor dashboard plus a Git app install, and it reviews the next pull request with no rules written. BUGBOT.md files are optional context.","Nested BUGBOT.md rules, team rules, and effort levels let teams steer what it looks for, but the models and review style are Cursor's choice and it only covers GitHub and GitLab.","Reviews run automatically on each update and got about three times faster in a mid-2026 update; Cursor reports developers resolving around 80% of flagged bugs by merge, with the high effort setting finding more on complex changes.","The Cursor name is widely known and Bugbot reviews more than two million pull requests a month, but the reviewer itself is known mainly to Cursor users and teams comparing AI code review tools.","Works on any repository on GitHub or GitLab, but setup and billing are tied to a Cursor account, rules live in Cursor-specific BUGBOT.md files, and Autofix depends on Cursor's cloud agents.",{"tool_id":394,"name":395,"slug":396,"tooltip_description":397,"logo_url":398,"logo_bg":118,"pricing_model":399,"learning_curve_score":39,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":400,"subcategory":401,"categories":402,"subcategories":404,"flexibility_score":42,"performance_score":82,"portability_score":82,"is_featured":97,"tags":406,"score_reasonings":410,"published_date":111,"last_updated_date":33},284,"CodeRabbit","coderabbit","AI code reviewer that comments on every pull request in GitHub, GitLab, Bitbucket, and Azure DevOps, combining language-model review with more than 40 static analyzers. The same reviews also run in IDE extensions and a CLI.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcoderabbit.svg",{"slug":218,"display_name":219,"description":220},{"category_id":222,"name":223,"slug":224},{"subcategory_id":377,"name":378,"slug":379},[403],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[405],{"subcategory_id":377,"name":378,"slug":379,"category_id":222,"is_primary":3,"display_order":94},[407,408,409],{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":285,"name":301,"slug":302,"tag_type":243},{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"flexibility":411,"learning_curve":412,"performance":413,"popularity":414,"portability":415},"Path-specific instructions, learnings from PR replies, custom pre-merge checks, and four Git hosts plus IDE and CLI surfaces give teams a lot of control over what gets reviewed and how. The underlying models are chosen by CodeRabbit, not the user.","Setup is installing a Git app and picking repositories; the first review arrives on the next pull request with no configuration. The YAML config and path instructions are optional refinements.","Reviews arrive within minutes and PR summaries are widely praised, but independent bug-catch benchmarks put its detection rate well behind Greptile and some other reviewers, and noisy comments are a common complaint.","The most-installed AI app on the GitHub Marketplace, with over two million connected repositories, more than 17,000 customers, and a $1.5B valuation. Well known among developers who work with pull requests, though AI code review is still a young category many developers have not adopted.","Works across GitHub, GitLab, Bitbucket, and Azure DevOps and sits outside the codebase, so switching reviewers is an app uninstall. It is a hosted SaaS, and learnings and configuration do not carry over to other tools.",{"tool_id":417,"name":418,"slug":419,"tooltip_description":420,"logo_url":421,"logo_bg":118,"pricing_model":422,"learning_curve_score":81,"popularity_score":82,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":423,"subcategory":424,"categories":425,"subcategories":427,"flexibility_score":42,"performance_score":42,"portability_score":42,"is_featured":97,"tags":429,"score_reasonings":434,"published_date":111,"last_updated_date":33},285,"Greptile","greptile","AI code reviewer that indexes the whole repository into a code graph and uses it to review pull requests, catching bugs that span several files. Supports GitHub, GitLab, and Bitbucket, with self-hosting on Enterprise.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgreptile.png",{"slug":218,"display_name":219,"description":220},{"category_id":222,"name":223,"slug":224},{"subcategory_id":377,"name":378,"slug":379},[426],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[428],{"subcategory_id":377,"name":378,"slug":379,"category_id":222,"is_primary":3,"display_order":94},[430,431,432,433],{"tag_id":267,"name":268,"slug":269,"tag_type":243},{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":285,"name":301,"slug":302,"tag_type":243},{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":435,"flexibility":436,"performance":437,"popularity":438,"portability":439},"Connecting a Git host and indexing a repository is quick, but getting the most out of it means writing custom rules and understanding the credit model and when a TREX review is worth three credits.","Plain-language custom rules, a choice of standard or execution-backed reviews, an API, and on Enterprise a bring-your-own-model option give teams real control over how reviews run.","Independent comparisons put its raw bug-catch rate at the top of the mainstream AI reviewers, driven by the codebase graph, and TREX adds execution evidence that static reading cannot produce.","Well regarded among teams evaluating AI code review, with more than 2,000 customers and Benchmark backing, but far less widely known than CodeRabbit and largely unknown to developers outside that decision.","Supports GitHub, GitLab, and Bitbucket in the cloud and can be self-hosted or run air-gapped with a team's own models on Enterprise, which few rivals offer. Azure DevOps is the notable gap.",{"cursor-bugbot":441,"coderabbit":442,"greptile":443},"Add Cursor Bugbot to keep review inside the Cursor plan this stack already pays for: it reviews GitHub or GitLab pull requests for bugs specifically, billed from the plan's usage at about $1 to $1.50 per review.","Add CodeRabbit when you want a broader reviewer than Bugbot alongside the editor: it walks through the whole pull request on GitHub or GitLab with a summary and line-level comments, with a free tier for open-source repos. Its IDE extension also runs inside Cursor.","Add Greptile when you want review that reads the whole repository rather than just the diff: it indexes the codebase so its GitHub and GitLab pull request comments carry wider context, and it can be self-hosted.",{},"Add code review when you want an AI reading every pull request before it merges: it comments on the diff so bugs, security issues, and inconsistencies surface before a human has to catch them.",{"tools":447,"descriptions":512,"aliases":515,"preface":516,"see_all":517},[448,486],{"tool_id":449,"name":450,"slug":451,"tooltip_description":452,"logo_url":453,"logo_bg":76,"pricing_model":454,"learning_curve_score":82,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":455,"subcategory":458,"categories":462,"subcategories":464,"flexibility_score":36,"performance_score":42,"portability_score":42,"is_featured":97,"tags":466,"score_reasonings":480,"published_date":110,"last_updated_date":111},164,"GitHub Actions","github-actions","GitHub's integrated CI\u002FCD platform that automates build, test, and deployment workflows using YAML-based configurations. Runs on GitHub-hosted or self-hosted runners with a rich marketplace of pre-built integrations.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgithub-actions.svg",{"slug":218,"display_name":219,"description":220},{"category_id":267,"name":456,"slug":457},"DevOps & CI\u002FCD","devops-cicd",{"subcategory_id":459,"name":460,"slug":461},34,"CI\u002FCD Pipelines","cicd-pipelines",[463],{"category_id":267,"name":456,"slug":457,"is_primary":3,"display_order":94},[465],{"subcategory_id":459,"name":460,"slug":461,"category_id":267,"is_primary":3,"display_order":94},[467,468,469,470,471,475],{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":267,"name":268,"slug":269,"tag_type":243},{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"tag_id":235,"name":236,"slug":237,"tag_type":238},{"tag_id":472,"name":473,"slug":474,"tag_type":243},24,"Docker Compatible","docker-compatible",{"tag_id":476,"name":477,"slug":478,"tag_type":479},45,"Declarative","declarative","paradigm",{"flexibility":481,"learning_curve":482,"performance":483,"popularity":484,"portability":485},"Self-hosted runner support across any OS or cloud, custom labels, matrix builds, Kubernetes scaling via Actions Runner Controller, and a marketplace of thousands of community-built actions give teams virtually unlimited configuration options for any workflow or environment.","Basic single-job workflows are accessible to any developer comfortable with YAML, and GitHub's documentation lowers the barrier further. However, advanced patterns — composite actions, reusable workflows, OIDC-based cloud auth, and conditional matrix strategies — involve non-obvious syntax and a complex permission model that requires meaningful time to master.","The platform handles massive scale reliably, but GitHub-hosted runner performance can vary between runs, making consistent benchmarking difficult. Teams running on self-hosted or larger hosted runners achieve stable, high throughput; the managed offering trades predictable latency for zero infrastructure overhead.","GitHub Actions is the dominant CI\u002FCD platform with tens of millions of repositories using it, thousands of marketplace actions, and widespread enterprise adoption. It is cited as the most-used CI\u002FCD solution in multiple developer surveys.","Self-hosted runners can run on any cloud or on-premises infrastructure, and the YAML workflow model is readable and auditable. The main constraint is tight coupling to GitHub events and APIs — moving workflows to another CI\u002FCD platform requires meaningful rewriting rather than a simple lift-and-shift.",{"tool_id":487,"name":488,"slug":489,"tooltip_description":490,"logo_url":256,"logo_bg":76,"pricing_model":491,"learning_curve_score":82,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":492,"subcategory":493,"categories":494,"subcategories":496,"flexibility_score":36,"performance_score":82,"portability_score":82,"is_featured":97,"tags":498,"score_reasonings":506,"published_date":110,"last_updated_date":111},165,"GitLab CI\u002FCD","gitlab-cicd","GitLab's built-in CI\u002FCD system configured through .gitlab-ci.yml files stored in your repository. Supports both GitLab-hosted and self-hosted runners for flexible pipeline execution across diverse environments.",{"slug":218,"display_name":219,"description":220},{"category_id":267,"name":456,"slug":457},{"subcategory_id":459,"name":460,"slug":461},[495],{"category_id":267,"name":456,"slug":457,"is_primary":3,"display_order":94},[497],{"subcategory_id":459,"name":460,"slug":461,"category_id":267,"is_primary":3,"display_order":94},[499,500,501,502,503,504,505],{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":267,"name":268,"slug":269,"tag_type":243},{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"tag_id":235,"name":236,"slug":237,"tag_type":238},{"tag_id":346,"name":347,"slug":348,"tag_type":243},{"tag_id":472,"name":473,"slug":474,"tag_type":243},{"tag_id":476,"name":477,"slug":478,"tag_type":479},{"learning_curve":507,"flexibility":508,"performance":509,"popularity":510,"portability":511},"The core .gitlab-ci.yml syntax is approachable for developers with YAML and Linux fundamentals, and GitLab's documentation is thorough. However, the platform's breadth — runner executors, pipeline inheritance, CI\u002FCD Catalog, merge trains, and security scanning configuration — creates a long tail of advanced concepts that teams discover gradually over months.","Multiple runner executor types (Docker, Kubernetes, Shell, machine), unlimited self-hosted runner capacity, parent-child pipelines, reusable CI\u002FCD Components, and the ability to self-host the entire platform give teams complete control over their pipeline environment and infrastructure.","Pipeline performance depends heavily on runner configuration and caching strategy. Shared GitLab-hosted runners can experience queue delays during peak periods, and Docker+machine executors add startup overhead. Teams running optimized self-hosted Kubernetes runners with effective caching achieve significantly faster pipelines, but the default shared experience is average for the CI\u002FCD category.","GitLab CI\u002FCD is used by over 100,000 organizations and is particularly strong among enterprises and security-conscious DevOps teams. It consistently ranks among the top CI\u002FCD platforms in developer surveys, though GitHub Actions has overtaken it in raw adoption volume — especially among open-source and smaller team segments.","GitLab CE is fully open source and self-hostable on any infrastructure, which is a strong portability advantage. However, .gitlab-ci.yml pipelines are tightly coupled to GitLab's API and runner ecosystem — migrating pipeline definitions to another CI\u002FCD system (GitHub Actions, CircleCI, etc.) requires substantial rewriting rather than a simple port.",{"github-actions":513,"gitlab-cicd":514},"Add GitHub Actions when the repo lives on GitHub and you want tests, linting, and deploy jobs running automatically on every push.","Add GitLab CI\u002FCD when the project is on GitLab and needs the same automated pipeline, defined in a .gitlab-ci.yml file that can run entirely on your own infrastructure.",{},"Add CI\u002FCD when you want a dedicated pipeline for running tests, linting, or multi-stage builds before a deploy goes out. Many hosting platforms already redeploy automatically on every push on their own — a CI\u002FCD tool adds the most value on top of that by gating the deploy on a passing test suite, and matters even more when the hosting choice does not auto-deploy at all, such as a self-hosted server.",{"kind":364,"slug":461,"name":460,"href":518},"\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcicd-pipelines",{"tools":520,"descriptions":552,"aliases":554,"preface":555,"see_all":556},[521],{"tool_id":522,"name":523,"slug":524,"tooltip_description":525,"logo_url":526,"logo_bg":118,"pricing_model":527,"learning_curve_score":42,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":528,"subcategory":529,"categories":533,"subcategories":535,"flexibility_score":36,"performance_score":42,"portability_score":36,"is_featured":3,"tags":537,"score_reasonings":546,"published_date":110,"last_updated_date":111},72,"Docker","docker","Container platform for packaging applications and their dependencies into portable images that run the same on a laptop, in CI, and in production, with Docker Desktop, Compose, and Docker Hub.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdocker.svg",{"slug":218,"display_name":219,"description":220},{"category_id":267,"name":456,"slug":457},{"subcategory_id":530,"name":531,"slug":532},33,"Containerization","containerization",[534],{"category_id":267,"name":456,"slug":457,"is_primary":3,"display_order":94},[536],{"subcategory_id":530,"name":531,"slug":532,"category_id":267,"is_primary":3,"display_order":94},[538,539,540,541,542],{"tag_id":346,"name":347,"slug":348,"tag_type":243},{"tag_id":267,"name":268,"slug":269,"tag_type":243},{"tag_id":472,"name":473,"slug":474,"tag_type":243},{"tag_id":235,"name":236,"slug":237,"tag_type":238},{"tag_id":543,"name":544,"slug":545,"tag_type":103},43,"Cross-platform","cross-platform",{"learning_curve":547,"performance":548,"portability":549,"flexibility":550,"popularity":551},"Container images, networking, volumes, and multi-stage builds all need deliberate learning.","Container overhead is minimal; near-native performance for most workloads.","Open standard; containers built with Docker run on any container-compatible platform.","Any runtime, any architecture; multi-stage builds and Compose profiles support complex systems.","The standard for containerization; present in virtually every modern software project.",{"docker":553},"Add Docker when the project needs environment parity between a developer's laptop and production, or when onboarding a new teammate should be a single docker compose up instead of a page of setup instructions. Cursor's agent can write the Dockerfile and Compose config when asked.",{},"Add containerization when you want the app packaged the same way across local development, staging, and production, or need to deploy somewhere that isn't a managed serverless platform.",{"kind":364,"slug":532,"name":531,"href":557},"\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcontainerization",{},[87],{"Development Tools":561,"LLM":601},[562,588],{"tool_id":563,"name":564,"slug":565,"tooltip_description":566,"logo_url":567,"logo_bg":76,"pricing_model":568,"learning_curve_score":82,"popularity_score":42,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":569,"subcategory":570,"categories":574,"subcategories":576,"flexibility_score":42,"performance_score":82,"portability_score":82,"is_featured":97,"tags":579,"score_reasonings":582,"published_date":110,"last_updated_date":111},18,"Cursor","cursor","Cursor is an AI-first code editor built as a fork of VS Code, offering Tab autocomplete, multi-file Agent mode, and natural language editing with support for Claude, GPT-4, and Gemini models. It combines a familiar VS Code interface with deep codebase context awareness and agentic coding capabilities.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcursor.svg",{"slug":218,"display_name":219,"description":220},{"category_id":222,"name":223,"slug":224},{"subcategory_id":571,"name":572,"slug":573},48,"IDEs & Editors","ides-editors",[575],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[577,578],{"subcategory_id":571,"name":572,"slug":573,"category_id":222,"is_primary":3,"display_order":94},{"subcategory_id":292,"name":293,"slug":294,"category_id":222,"is_primary":97,"display_order":39},[580,581],{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":285,"name":301,"slug":302,"tag_type":243},{"learning_curve":583,"performance":584,"flexibility":585,"portability":586,"popularity":587},"Familiar VS Code UX but AI features like Composer and .cursorrules require onboarding.","Electron-based; decent performance but heavier than native editors under load.",".cursorrules, custom API endpoints, and VS Code extension compatibility make it highly adaptable.",".cursorrules format is specific; settings are partially compatible with VS Code.","The leading AI code editor by adoption; widely discussed across developer communities.",{"tool_id":212,"name":213,"slug":214,"tooltip_description":215,"logo_url":216,"logo_bg":76,"pricing_model":589,"learning_curve_score":82,"popularity_score":36,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":590,"subcategory":591,"categories":592,"subcategories":594,"flexibility_score":42,"performance_score":82,"portability_score":81,"is_featured":97,"tags":596,"score_reasonings":600,"published_date":110,"last_updated_date":111},{"slug":218,"display_name":219,"description":220},{"category_id":222,"name":223,"slug":224},{"subcategory_id":226,"name":227,"slug":228},[593],{"category_id":222,"name":223,"slug":224,"is_primary":3,"display_order":94},[595],{"subcategory_id":226,"name":227,"slug":228,"category_id":222,"is_primary":3,"display_order":94},[597,598,599],{"tag_id":235,"name":236,"slug":237,"tag_type":238},{"tag_id":240,"name":241,"slug":242,"tag_type":243},{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":246,"flexibility":247,"performance":248,"popularity":249,"portability":250},[602],{"tool_id":5,"name":72,"slug":73,"tooltip_description":74,"logo_url":75,"logo_bg":76,"pricing_model":603,"learning_curve_score":81,"popularity_score":82,"hosting_assignment_type":33,"hosting_provider_restriction":83,"hosting_target_restriction":83,"hosting_compatible_tool_ids":33,"parent_tool_id":33,"category":604,"subcategory":605,"categories":606,"subcategories":608,"flexibility_score":82,"performance_score":42,"portability_score":81,"is_featured":97,"tags":610,"score_reasonings":612,"published_date":110,"last_updated_date":111},{"slug":78,"display_name":79,"description":80},{"category_id":85,"name":86,"slug":87},{"subcategory_id":89,"name":90,"slug":91},[607],{"category_id":85,"name":86,"slug":87,"is_primary":3,"display_order":94},[609],{"subcategory_id":89,"name":90,"slug":91,"category_id":85,"is_primary":3,"display_order":94},[611],{"tag_id":100,"name":101,"slug":102,"tag_type":103},{"learning_curve":105,"flexibility":106,"performance":107,"popularity":108,"portability":109},[],[615,618,621,624,627],{"question":616,"answer":617},"Can Cursor keep working when my computer is off?","Yes, through cloud agents on a paid plan. They run in Cursor's own cloud machines with the repository cloned, so your computer can be off, and they hand back a branch or pull request. You can start and check on them from cursor.com, the desktop app, the iOS app, Android through the installable web app, Slack, or an @cursor comment on GitHub or Linear. They work with GitHub and GitLab repositories alike. Cloud agents are billed at API pricing for the model you pick, on top of the plan, so long runs on premium models add up.",{"question":619,"answer":620},"Why is Grok the default model?","Grok is Cursor's headline model option, with generous Grok usage included in the paid plan, and Cursor's parent company is being acquired by SpaceX, which merged with xAI. It's only a default, though: the model picker switches to Claude, GPT, or Gemini per chat, and Cursor's own Composer model is included on every plan, free tier included.",{"question":622,"answer":623},"Can I use Claude Code or Codex inside Cursor?","Yes. Cursor runs VS Code extensions, so the official Claude Code and Codex extensions install into its sidebar, and any agent CLI can run in the integrated terminal. Each needs its own subscription, since Cursor's plan only covers its own agent and models.",{"question":625,"answer":626},"Can I use several models in the same project?","Yes. The model is chosen per chat or agent task, so one chat can run Grok for quick edits while another uses Claude for a hard refactor. Auto mode picks a model for you. Premium models draw down plan usage faster than the default, which is the practical limit on mixing them.",{"question":628,"answer":629},"How is this different from stock VS Code with an AI extension?","Cursor is a fork of VS Code with the agent, Tab completions, and model picker built into the editor itself. Stock VS Code gets AI through an extension such as Copilot or Cline, which can be swapped freely but works within what an extension is allowed to do. Pick Cursor for the most integrated experience, or VS Code to keep the editor unchanged and choose the AI separately.",{"summary":631,"starting_cost_label":632,"has_free_tier":3,"line_items":633},"Cursor's own subscription is the main cost: the free Hobby tier covers light use and includes Cursor's Composer model, the Individual plan at $20\u002Fmonth extends agent limits and adds Grok, frontier models, and cloud agents, and Teams is $40 per user per month. Cloud agents bill at API pricing for the chosen model. A separate agent like Claude Code or Codex, if added, needs its own plan. GitHub and GitLab are free for individual developers, and Docker and CI\u002FCD have free tiers for typical personal use.","Free to start",[634,638,642,645,649],{"label":635,"cost":636,"note":637},"Cursor subscription","Free–$200\u002Fmo","Hobby is free with Composer included; Individual is $20\u002Fmo with Grok and frontier models, or $60\u002F$200 for higher usage; Teams from $40\u002Fuser\u002Fmo.",{"label":639,"cost":640,"note":641},"Version control (GitHub or GitLab)","Free–$29\u002Fmo","Free tier covers individual devs and small teams; GitHub Team is $4\u002Fmo, GitLab Premium is $29\u002Fmo for more seats.",{"label":643,"cost":636,"note":644},"Separate coding agent (optional)","Claude Code starts at $20\u002Fmo (no free tier); Codex has a free tier, with Plus at $20\u002Fmo; both go to $200\u002Fmo. OpenCode is free and bills per token.",{"label":646,"cost":647,"note":648},"Docker (optional)","Free–$5\u002Fmo","Docker Desktop is free for personal use; Docker Pro adds team features from $5\u002Fmo.",{"label":650,"cost":651,"note":652},"CI\u002FCD (optional)","Free tier available","GitHub Actions and GitLab CI\u002FCD both include free monthly minutes before paid tiers kick in.","beginner","developer","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fstack-types\u002Fdeveloper.svg",{"title":657,"description":658,"og_image":33,"canonical":659},"Cursor Dev Stack: Tools, Pricing & How to Deploy | Tekyous","Cursor as editor and coding agent in one, with Grok by default and Claude, GPT, or Gemini a… Compare Cursor Dev Stack tools, pricing & how to deploy on Tekyous.","https:\u002F\u002Ftekyous.dev\u002Fstacks\u002Fcursor-dev-stack",1790518819467]