[{"data":1,"prerenderedAt":656},["ShallowReactive",2],{"categories-init":3,"stack-conductor-dev-stack":4},true,{"stack_id":5,"slug":6,"name":7,"tagline":8,"long_description":9,"key_features":10,"use_cases":18,"pros":24,"cons":29,"cover_image_url":34,"scores":35,"options":49,"additions":306,"option_groups":479,"multi_select_option_types":480,"tools_by_category":482,"related_stacks":558,"faqs":614,"pricing":630,"system_requirements":34,"experience_level":590,"project_type":34,"stack_type_slug":565,"stack_type_icon_url":566,"published_date":107,"last_updated_date":34,"seo_meta":652},229,"conductor-dev-stack","Conductor Dev Stack","Run Claude Code, Codex, and Cursor's agent in parallel on your Mac with Conductor, each in its own workspace.","Conductor (conductor.build) is a Mac app for running several **coding agents in parallel** on one repository. Each new workspace creates a git worktree on a fresh branch behind the scenes and starts an agent inside it with your existing login, so every agent gets its own copy of the code and its own terminal, with no way to overwrite another's work.\n\nIn this stack **agents and models are separate choices**. Claude Code is the default agent, with Codex, Cursor's agent, and OpenCode as the alternatives, in any combination. Each agent has a home model family, but Conductor's provider settings widen it: Claude Code can run through OpenRouter, Bedrock, or GLM, OpenCode reaches nearly any provider through OpenRouter or Cerebras, and Cursor's agent brings its own multi-provider menu.\n\n**Review happens inside the app.** A visual diff viewer shows each workspace's changes, and the GitHub integration turns a finished workspace into a pull request in one click, then lets the agent read and answer review comments. Linear integration links issues to the work that closes them. GitHub sits in the core here rather than as a swappable choice, because the pull-request loop is built around it.\n\nWorkspaces run **on your Mac by default** and stop when it sleeps. Conductor stands apart from other agentic development environments by offering a **hosted cloud** instead of running on a server of your own: on the Pro plan ($50\u002Fmonth) and above, cloud workspaces run in isolated Linux sandboxes that Conductor hosts, so agents keep working with your Mac closed or off while the Mac app stays the interface. A cloud workspace sleeps after four hours without activity, and Conductor itself can't be installed on your own server. GitHub Actions for testing every agent branch and Docker for per-workspace services are the common additions.",[11,12,13,14,15,16,17],"One-click workspaces that each run on their own git worktree and branch","Pick one or more agents: Claude Code, Codex, Cursor's agent, and OpenCode, side by side","Provider settings that run Claude Code, Codex, and OpenCode against more than their home models","Visual diff viewer for reviewing each workspace's changes before merging","One-click pull requests, with agents reading and answering GitHub review comments","Cloud workspaces in isolated Linux sandboxes that keep running with your Mac closed (Pro)","Linear integration linking issues to the workspaces that resolve them",[19,20,21,22,23],"Mac developers who want parallel agents without learning git worktrees themselves","Giving Claude Code and Codex the same task and opening a pull request from the better result","Clearing a backlog of small, independent issues with one agent per issue","Teams that review agent work as ordinary GitHub pull requests with comments","Keeping agents running in the cloud while away from the desk, on the Pro plan",[25,26,27,28],"The gentlest learning curve among agent orchestrators: worktrees are created and cleaned up for you","Free core tier with no per-seat cost, using the agent subscriptions you already have","Tight GitHub loop from workspace to pull request to answered review comments","Paid plans add hosted cloud workspaces without setting up a server yourself",[30,31,32,33],"macOS only, with no Windows or Linux desktop app","Closed source, so it can't be self-hosted on your own server","Four supported agents, fewer than cross-platform alternatives like Orca","Cloud workspaces need the $50\u002Fmonth Pro plan, sleep when idle, and there's no mobile app yet",null,{"popularity":36,"learning_curve":39,"flexibility":42,"performance":44,"portability":47},{"score":37,"reasoning":38},3,"Conductor is one of the best-known tools for running coding agents in parallel, but that practice is still young and mostly limited to AI-heavy teams.",{"score":40,"reasoning":41},2,"Workspaces, branches, and worktrees are created with one click, and review and pull requests happen in a familiar GUI, so running parallel agents needs little more than knowing the agents themselves.",{"score":37,"reasoning":43},"Three agents can run in any combination and Cursor's agent opens up other providers' models, but the app is closed source, macOS-only, and built around GitHub.",{"score":45,"reasoning":46},4,"Parallel workspaces finish independent tasks in the time one agent would take for a single task, and the native Mac app stays responsive across many of them.",{"score":40,"reasoning":48},"The app is closed source and macOS-only, and the pull-request workflow depends on GitHub, though the agents and the code itself carry over to any other setup unchanged.",{"database":50,"orm":54,"authentication":58,"analytics":62,"coding_agent":66,"llm":201,"language":282,"frontend_framework":286,"cms":290,"hosting":294,"reverse_proxy":298,"self_hosted_paas":302},{"tools":51,"descriptions":52,"aliases":53,"see_all":34},[],{},{},{"tools":55,"descriptions":56,"aliases":57,"see_all":34},[],{},{},{"tools":59,"descriptions":60,"aliases":61,"see_all":34},[],{},{},{"tools":63,"descriptions":64,"aliases":65,"see_all":34},[],{},{},{"tools":67,"descriptions":191,"aliases":196,"see_all":198},[68,108,137,165],{"tool_id":69,"name":70,"slug":71,"tooltip_description":72,"logo_url":73,"logo_bg":74,"pricing_model":75,"learning_curve_score":37,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":81,"subcategory":85,"categories":89,"subcategories":92,"flexibility_score":79,"performance_score":45,"portability_score":45,"is_featured":94,"tags":95,"score_reasonings":100,"published_date":106,"last_updated_date":107},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.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fclaude.svg","dark",{"slug":76,"display_name":77,"description":78},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.",5,"open",{"category_id":82,"name":83,"slug":84},8,"Development Tools","development-tools",{"subcategory_id":86,"name":87,"slug":88},49,"AI Coding Agents","ai-coding-agents",[90],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},0,[93],{"subcategory_id":86,"name":87,"slug":88,"category_id":82,"is_primary":3,"display_order":91},false,[96],{"tag_id":69,"name":97,"slug":98,"tag_type":99},"AI-powered","ai-powered","feature",{"learning_curve":101,"performance":102,"flexibility":103,"portability":104,"popularity":105},"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.","2026-05-29","2026-09-27",{"tool_id":109,"name":110,"slug":111,"tooltip_description":112,"logo_url":113,"logo_bg":74,"pricing_model":114,"learning_curve_score":37,"popularity_score":45,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":115,"subcategory":116,"categories":117,"subcategories":119,"flexibility_score":37,"performance_score":79,"portability_score":40,"is_featured":94,"tags":121,"score_reasonings":131,"published_date":106,"last_updated_date":107},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":76,"display_name":77,"description":78},{"category_id":82,"name":83,"slug":84},{"subcategory_id":86,"name":87,"slug":88},[118],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[120],{"subcategory_id":86,"name":87,"slug":88,"category_id":82,"is_primary":3,"display_order":91},[122,126],{"tag_id":123,"name":124,"slug":125,"tag_type":99},13,"Free Tier","free-tier",{"tag_id":127,"name":128,"slug":129,"tag_type":130},40,"Web","web","platform",{"learning_curve":132,"flexibility":133,"performance":134,"popularity":135,"portability":136},"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":138,"name":139,"slug":140,"tooltip_description":141,"logo_url":142,"logo_bg":143,"pricing_model":144,"learning_curve_score":37,"popularity_score":45,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":145,"subcategory":146,"categories":150,"subcategories":152,"flexibility_score":45,"performance_score":37,"portability_score":37,"is_featured":94,"tags":156,"score_reasonings":159,"published_date":106,"last_updated_date":107},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","white",{"slug":76,"display_name":77,"description":78},{"category_id":82,"name":83,"slug":84},{"subcategory_id":147,"name":148,"slug":149},48,"IDEs & Editors","ides-editors",[151],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[153,154],{"subcategory_id":147,"name":148,"slug":149,"category_id":82,"is_primary":3,"display_order":91},{"subcategory_id":86,"name":87,"slug":88,"category_id":82,"is_primary":94,"display_order":155},1,[157,158],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"learning_curve":160,"performance":161,"flexibility":162,"portability":163,"popularity":164},"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":166,"name":167,"slug":168,"tooltip_description":169,"logo_url":170,"logo_bg":143,"pricing_model":171,"learning_curve_score":37,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":172,"subcategory":173,"categories":174,"subcategories":176,"flexibility_score":79,"performance_score":45,"portability_score":79,"is_featured":94,"tags":178,"score_reasonings":185,"published_date":107,"last_updated_date":34},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":76,"display_name":77,"description":78},{"category_id":82,"name":83,"slug":84},{"subcategory_id":86,"name":87,"slug":88},[175],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[177],{"subcategory_id":86,"name":87,"slug":88,"category_id":82,"is_primary":3,"display_order":91},[179,183,184],{"tag_id":180,"name":181,"slug":182,"tag_type":99},11,"Open Source","open-source",{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"learning_curve":186,"flexibility":187,"performance":188,"popularity":189,"portability":190},"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":192,"codex":193,"cursor":194,"opencode":195},"Claude Code is the default agent here and the one most Conductor workspaces start with: Anthropic's CLI, strong at multi-file changes. It bills through a Claude plan from $20\u002Fmonth or per token, and Conductor's provider settings can also route it through OpenRouter, Bedrock, or GLM.","OpenAI's agent CLI, included with every ChatGPT plan down to the free tier. A second workspace running Codex on the same task is the quickest way to compare two vendors and keep the better branch. In Conductor it runs through an OpenAI account or Vercel AI Gateway.","Cursor's agent inside a Conductor workspace, for developers already on a Cursor plan ($20\u002Fmonth and up). It brings Cursor's own model menu, Grok by default with Claude, GPT, and Gemini available, billed through Cursor rather than separate provider keys.","Open-source and model-agnostic, OpenCode is the agent that opens the model layer widest in Conductor: through OpenRouter, Baseten, Cerebras, or Vercel AI Gateway it reaches Gemini, DeepSeek, Kimi, and many more, billed per token. A good pick for cheap, high-volume work next to a premium agent.",{"cursor":197},"Cursor CLI",{"kind":199,"slug":88,"name":87,"href":200},"subcategory","\u002Ftools\u002Fcategories\u002Fdevelopment-tools\u002Fai-coding-agents",{"tools":202,"descriptions":274,"aliases":278,"see_all":279},[203,232,253],{"tool_id":204,"name":205,"slug":206,"tooltip_description":207,"logo_url":73,"logo_bg":74,"pricing_model":208,"learning_curve_score":40,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":212,"subcategory":216,"categories":220,"subcategories":222,"flexibility_score":45,"performance_score":79,"portability_score":37,"is_featured":94,"tags":224,"score_reasonings":226,"published_date":106,"last_updated_date":107},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.",{"slug":209,"display_name":210,"description":211},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.",{"category_id":213,"name":214,"slug":215},19,"LLM","llm",{"subcategory_id":217,"name":218,"slug":219},51,"Proprietary","proprietary",[221],{"category_id":213,"name":214,"slug":215,"is_primary":3,"display_order":91},[223],{"subcategory_id":217,"name":218,"slug":219,"category_id":213,"is_primary":3,"display_order":91},[225],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":227,"flexibility":228,"performance":229,"popularity":230,"portability":231},"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":233,"name":234,"slug":235,"tooltip_description":236,"logo_url":237,"logo_bg":143,"pricing_model":238,"learning_curve_score":40,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":239,"subcategory":240,"categories":241,"subcategories":243,"flexibility_score":37,"performance_score":79,"portability_score":40,"is_featured":94,"tags":245,"score_reasonings":247,"published_date":106,"last_updated_date":107},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":209,"display_name":210,"description":211},{"category_id":213,"name":214,"slug":215},{"subcategory_id":217,"name":218,"slug":219},[242],{"category_id":213,"name":214,"slug":215,"is_primary":3,"display_order":91},[244],{"subcategory_id":217,"name":218,"slug":219,"category_id":213,"is_primary":3,"display_order":91},[246],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"performance":248,"popularity":249,"portability":250,"learning_curve":251,"flexibility":252},"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":254,"name":255,"slug":256,"tooltip_description":257,"logo_url":258,"logo_bg":74,"pricing_model":259,"learning_curve_score":40,"popularity_score":45,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":260,"subcategory":261,"categories":262,"subcategories":264,"flexibility_score":45,"performance_score":79,"portability_score":40,"is_featured":94,"tags":266,"score_reasonings":268,"published_date":106,"last_updated_date":107},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":209,"display_name":210,"description":211},{"category_id":213,"name":214,"slug":215},{"subcategory_id":217,"name":218,"slug":219},[263],{"category_id":213,"name":214,"slug":215,"is_primary":3,"display_order":91},[265],{"subcategory_id":217,"name":218,"slug":219,"category_id":213,"is_primary":3,"display_order":91},[267],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":269,"flexibility":270,"performance":271,"popularity":272,"portability":273},"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.",{"claude":275,"openai":276,"google-gemini":277},"Claude is the default model, the one Claude Code is built for and a common choice for the workspace doing the hardest task. Cursor's agent and OpenCode can use Claude models too, so two workspaces on different agents can still share one model family.","OpenAI's GPT models are Codex's home family and are also available through Cursor's agent and OpenCode. Picking them alongside Claude gives a second vendor's approach to the same task, and a ChatGPT plan covers Codex usage without per-token billing.","Gemini's long context window suits repository-wide questions and large refactors, and its Flash models are fast and cheap for routine work. In this stack it's reached through Cursor's agent or OpenCode, since neither Claude Code nor Codex runs it.",{},{"kind":280,"slug":215,"name":214,"href":281},"category","\u002Ftools\u002Fcategories\u002Fllm",{"tools":283,"descriptions":284,"aliases":285,"see_all":34},[],{},{},{"tools":287,"descriptions":288,"aliases":289,"see_all":34},[],{},{},{"tools":291,"descriptions":292,"aliases":293,"see_all":34},[],{},{},{"tools":295,"descriptions":296,"aliases":297,"see_all":34},[],{},{},{"tools":299,"descriptions":300,"aliases":301,"see_all":34},[],{},{},{"tools":303,"descriptions":304,"aliases":305,"see_all":34},[],{},{},{"code_review":307,"ci_cd":390,"containerization":440},{"tools":308,"descriptions":384,"aliases":388,"preface":389,"see_all":34},[309,335,362],{"tool_id":310,"name":311,"slug":312,"tooltip_description":313,"logo_url":314,"logo_bg":74,"pricing_model":315,"learning_curve_score":155,"popularity_score":45,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":316,"subcategory":317,"categories":321,"subcategories":323,"flexibility_score":45,"performance_score":37,"portability_score":37,"is_featured":94,"tags":325,"score_reasonings":329,"published_date":107,"last_updated_date":34},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":76,"display_name":77,"description":78},{"category_id":82,"name":83,"slug":84},{"subcategory_id":318,"name":319,"slug":320},73,"AI Code Review","ai-code-review",[322],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[324],{"subcategory_id":318,"name":319,"slug":320,"category_id":82,"is_primary":3,"display_order":91},[326,327,328],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"flexibility":330,"learning_curve":331,"performance":332,"popularity":333,"portability":334},"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":336,"name":337,"slug":338,"tooltip_description":339,"logo_url":340,"logo_bg":74,"pricing_model":341,"learning_curve_score":40,"popularity_score":37,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":342,"subcategory":343,"categories":344,"subcategories":346,"flexibility_score":45,"performance_score":45,"portability_score":45,"is_featured":94,"tags":348,"score_reasonings":356,"published_date":107,"last_updated_date":34},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":76,"display_name":77,"description":78},{"category_id":82,"name":83,"slug":84},{"subcategory_id":318,"name":319,"slug":320},[345],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[347],{"subcategory_id":318,"name":319,"slug":320,"category_id":82,"is_primary":3,"display_order":91},[349,353,354,355],{"tag_id":350,"name":351,"slug":352,"tag_type":99},12,"Self-hostable","self-hostable",{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":357,"flexibility":358,"performance":359,"popularity":360,"portability":361},"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.",{"tool_id":363,"name":364,"slug":365,"tooltip_description":366,"logo_url":367,"logo_bg":74,"pricing_model":368,"learning_curve_score":155,"popularity_score":37,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":369,"subcategory":370,"categories":371,"subcategories":373,"flexibility_score":37,"performance_score":45,"portability_score":40,"is_featured":94,"tags":375,"score_reasonings":378,"published_date":107,"last_updated_date":34},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":209,"display_name":210,"description":211},{"category_id":82,"name":83,"slug":84},{"subcategory_id":318,"name":319,"slug":320},[372],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[374],{"subcategory_id":318,"name":319,"slug":320,"category_id":82,"is_primary":3,"display_order":91},[376,377],{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":379,"flexibility":380,"performance":381,"popularity":382,"portability":383},"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.",{"coderabbit":385,"greptile":386,"cursor-bugbot":387},"Add CodeRabbit when several agents are opening pull requests faster than one person can read them: it reviews every GitHub or GitLab diff with a summary and line-level comments, with a free tier for open-source repos.","Add Greptile when parallel agents produce more diffs than one person can review: it indexes the whole repository so its comments carry context beyond the changed files, and it can be self-hosted for full control.","Add Cursor Bugbot when a bug-focused reviewer is enough: it reviews GitHub or GitLab pull requests whatever wrote the code, though it bills through a Cursor account and plan rather than its own subscription.",{},"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":391,"descriptions":434,"aliases":436,"preface":437,"see_all":438},[392],{"tool_id":393,"name":394,"slug":395,"tooltip_description":396,"logo_url":397,"logo_bg":143,"pricing_model":398,"learning_curve_score":37,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":399,"subcategory":402,"categories":406,"subcategories":408,"flexibility_score":79,"performance_score":45,"portability_score":45,"is_featured":94,"tags":410,"score_reasonings":428,"published_date":106,"last_updated_date":107},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":76,"display_name":77,"description":78},{"category_id":350,"name":400,"slug":401},"DevOps & CI\u002FCD","devops-cicd",{"subcategory_id":403,"name":404,"slug":405},34,"CI\u002FCD Pipelines","cicd-pipelines",[407],{"category_id":350,"name":400,"slug":401,"is_primary":3,"display_order":91},[409],{"subcategory_id":403,"name":404,"slug":405,"category_id":350,"is_primary":3,"display_order":91},[411,412,413,414,419,423],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":350,"name":351,"slug":352,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"tag_id":415,"name":416,"slug":417,"tag_type":418},36,"CI\u002FCD","ci-cd","use_case",{"tag_id":420,"name":421,"slug":422,"tag_type":99},24,"Docker Compatible","docker-compatible",{"tag_id":424,"name":425,"slug":426,"tag_type":427},45,"Declarative","declarative","paradigm",{"flexibility":429,"learning_curve":430,"performance":431,"popularity":432,"portability":433},"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.",{"github-actions":435},"Add GitHub Actions when several agents are opening pull requests at once and every branch should be tested automatically before you spend time reviewing it.",{},"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":199,"slug":405,"name":404,"href":439},"\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcicd-pipelines",{"tools":441,"descriptions":473,"aliases":475,"preface":476,"see_all":477},[442],{"tool_id":443,"name":444,"slug":445,"tooltip_description":446,"logo_url":447,"logo_bg":74,"pricing_model":448,"learning_curve_score":45,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":449,"subcategory":450,"categories":454,"subcategories":456,"flexibility_score":79,"performance_score":45,"portability_score":79,"is_featured":3,"tags":458,"score_reasonings":467,"published_date":106,"last_updated_date":107},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":76,"display_name":77,"description":78},{"category_id":350,"name":400,"slug":401},{"subcategory_id":451,"name":452,"slug":453},33,"Containerization","containerization",[455],{"category_id":350,"name":400,"slug":401,"is_primary":3,"display_order":91},[457],{"subcategory_id":451,"name":452,"slug":453,"category_id":350,"is_primary":3,"display_order":91},[459,460,461,462,463],{"tag_id":180,"name":181,"slug":182,"tag_type":99},{"tag_id":350,"name":351,"slug":352,"tag_type":99},{"tag_id":420,"name":421,"slug":422,"tag_type":99},{"tag_id":415,"name":416,"slug":417,"tag_type":418},{"tag_id":464,"name":465,"slug":466,"tag_type":130},43,"Cross-platform","cross-platform",{"learning_curve":468,"performance":469,"portability":470,"flexibility":471,"popularity":472},"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":474},"Add Docker when each agent's workspace needs its own database or dev server: a Compose file per workspace keeps ports and data from colliding when several agents run the app at once in Conductor.",{},"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":199,"slug":453,"name":452,"href":478},"\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcontainerization",{},[215,481],"coding_agent",{"Development 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creation.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fconductor.png",{"slug":76,"display_name":77,"description":78},{"category_id":82,"name":83,"slug":84},{"subcategory_id":493,"name":494,"slug":495},59,"Agentic Dev Environments","agentic-dev-environments",[497],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[499],{"subcategory_id":493,"name":494,"slug":495,"category_id":82,"is_primary":3,"display_order":91},[501,502],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"learning_curve":504,"flexibility":505,"performance":506,"popularity":507,"portability":508},"Creating a workspace is a single click that handles the underlying git worktree setup automatically, and starting an agent inside it reuses an existing Claude Code or Codex login with no separate configuration step.","Supports three agent CLIs today and layers workspace management, diff review, and PR automation on top, narrower in agent coverage than open, self-hostable alternatives in the same subcategory.","Native macOS app dedicated to a single platform, generally reported as responsive when running several parallel agent workspaces at once.","Cited as the comparison baseline by multiple newer entrants in its subcategory and backed by a $22M Series A, real mindshare within the still-young agentic-dev-environment niche rather than broad recognition outside it.","Closed-source and macOS-only with no self-hosting option, cloud workspace features and collaboration sit behind paid tiers, making it the more vendor-bound choice relative to open, cross-platform alternatives.",{"tool_id":69,"name":70,"slug":71,"tooltip_description":72,"logo_url":73,"logo_bg":74,"pricing_model":510,"learning_curve_score":37,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":511,"subcategory":512,"categories":513,"subcategories":515,"flexibility_score":79,"performance_score":45,"portability_score":45,"is_featured":94,"tags":517,"score_reasonings":519,"published_date":106,"last_updated_date":107},{"slug":76,"display_name":77,"description":78},{"category_id":82,"name":83,"slug":84},{"subcategory_id":86,"name":87,"slug":88},[514],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[516],{"subcategory_id":86,"name":87,"slug":88,"category_id":82,"is_primary":3,"display_order":91},[518],{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"learning_curve":101,"performance":102,"flexibility":103,"portability":104,"popularity":105},{"tool_id":521,"name":522,"slug":523,"tooltip_description":524,"logo_url":525,"logo_bg":143,"pricing_model":526,"learning_curve_score":37,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":527,"subcategory":528,"categories":532,"subcategories":534,"flexibility_score":45,"performance_score":37,"portability_score":40,"is_featured":94,"tags":536,"score_reasonings":540,"published_date":106,"last_updated_date":107},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":76,"display_name":77,"description":78},{"category_id":82,"name":83,"slug":84},{"subcategory_id":529,"name":530,"slug":531},50,"Version Control","version-control",[533],{"category_id":82,"name":83,"slug":84,"is_primary":3,"display_order":91},[535],{"subcategory_id":529,"name":530,"slug":531,"category_id":82,"is_primary":3,"display_order":91},[537,538,539],{"tag_id":415,"name":416,"slug":417,"tag_type":418},{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":541,"flexibility":542,"performance":543,"popularity":544,"portability":545},"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.",[547],{"tool_id":204,"name":205,"slug":206,"tooltip_description":207,"logo_url":73,"logo_bg":74,"pricing_model":548,"learning_curve_score":40,"popularity_score":79,"hosting_assignment_type":34,"hosting_provider_restriction":80,"hosting_target_restriction":80,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":549,"subcategory":550,"categories":551,"subcategories":553,"flexibility_score":45,"performance_score":79,"portability_score":37,"is_featured":94,"tags":555,"score_reasonings":557,"published_date":106,"last_updated_date":107},{"slug":209,"display_name":210,"description":211},{"category_id":213,"name":214,"slug":215},{"subcategory_id":217,"name":218,"slug":219},[552],{"category_id":213,"name":214,"slug":215,"is_primary":3,"display_order":91},[554],{"subcategory_id":217,"name":218,"slug":219,"category_id":213,"is_primary":3,"display_order":91},[556],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":227,"flexibility":228,"performance":229,"popularity":230,"portability":231},[559,576,585,600],{"stack_id":560,"slug":561,"name":562,"tagline":563,"experience_level":564,"project_type":34,"stack_type_slug":565,"stack_type_icon_url":566,"score_popularity":40,"score_learning_curve":37,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":567},231,"paseo-dev-stack","Paseo Dev Stack","Run Claude Code, Codex, and other coding agents on your own machine with Paseo and steer them from any device.","advanced","developer","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fstack-types\u002Fdeveloper.svg",[568,573,574,575],{"tool_id":569,"slug":570,"name":571,"logo_url":572,"logo_bg":143},278,"paseo","Paseo","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fpaseo.svg",{"tool_id":69,"slug":71,"name":70,"logo_url":73,"logo_bg":74},{"tool_id":521,"slug":523,"name":522,"logo_url":525,"logo_bg":143},{"tool_id":204,"slug":206,"name":205,"logo_url":73,"logo_bg":74},{"stack_id":577,"slug":578,"name":579,"tagline":580,"experience_level":564,"project_type":34,"stack_type_slug":565,"stack_type_icon_url":566,"score_popularity":45,"score_learning_curve":37,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":581},165,"claude-code-dev-stack","Claude Code Dev Stack","Claude Code in the terminal, desktop app, or web, paired with Claude and the add-ons to run it anywhere.",[582,583,584],{"tool_id":69,"slug":71,"name":70,"logo_url":73,"logo_bg":74},{"tool_id":521,"slug":523,"name":522,"logo_url":525,"logo_bg":143},{"tool_id":204,"slug":206,"name":205,"logo_url":73,"logo_bg":74},{"stack_id":586,"slug":587,"name":588,"tagline":589,"experience_level":590,"project_type":34,"stack_type_slug":565,"stack_type_icon_url":566,"score_popularity":37,"score_learning_curve":40,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":591},230,"t3-code-dev-stack","T3 Code Dev Stack","One open-source app for Claude Code, Codex, OpenCode, and other coding agents, on desktop and mobile.","intermediate",[592,597,598,599],{"tool_id":593,"slug":594,"name":595,"logo_url":596,"logo_bg":74},276,"t3-code","T3 Code","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Ft3-code.png",{"tool_id":69,"slug":71,"name":70,"logo_url":73,"logo_bg":74},{"tool_id":521,"slug":523,"name":522,"logo_url":525,"logo_bg":143},{"tool_id":204,"slug":206,"name":205,"logo_url":73,"logo_bg":74},{"stack_id":601,"slug":602,"name":603,"tagline":604,"experience_level":564,"project_type":34,"stack_type_slug":565,"stack_type_icon_url":566,"score_popularity":37,"score_learning_curve":45,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":605},227,"orca-dev-stack","Orca Dev Stack","Run Claude Code, Codex, and other coding agents side by side in Orca, each on its own branch and model.",[606,611,612,613],{"tool_id":607,"slug":608,"name":609,"logo_url":610,"logo_bg":143},255,"orca","Orca","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Forca.png",{"tool_id":69,"slug":71,"name":70,"logo_url":73,"logo_bg":74},{"tool_id":521,"slug":523,"name":522,"logo_url":525,"logo_bg":143},{"tool_id":204,"slug":206,"name":205,"logo_url":73,"logo_bg":74},[615,618,621,624,627],{"question":616,"answer":617},"Can agents keep working when my Mac is closed?","Yes, in cloud workspaces, which come with the $50\u002Fmonth Pro plan and above. They run in isolated Linux sandboxes on Conductor's side, so agents keep going with your Mac closed or off, and the Mac app stays the interface when you come back; you can also open a cloud workspace over SSH or sync it to a local folder. A workspace sleeps after four hours without activity, and a sandbox stops after about 24 hours, so very long runs need checking in. Local workspaces stop when your Mac sleeps, Conductor can't be self-hosted on your own server, and its mobile app is announced but not yet released.",{"question":619,"answer":620},"Is Conductor's free tier enough?","For one developer working locally, usually yes: the free tier runs multiple agents in parallel with local workspaces and your own subscriptions or API keys. Pro at $50\u002Fmonth becomes worth it when agents should keep working with the Mac closed, in cloud workspaces, or when up to five people need to work in the same workspaces.",{"question":622,"answer":623},"Can I use models other than Claude and OpenAI?","Yes, in several ways. OpenCode reaches Gemini, DeepSeek, Kimi, and many others through OpenRouter, Baseten, Cerebras, or Vercel AI Gateway. Cursor's agent brings its own menu of Grok, Claude, GPT, and Gemini models on a Cursor plan. Conductor's provider settings can also route Claude Code through OpenRouter, Bedrock, or GLM, though Anthropic itself supports only Claude models. Codex runs through OpenAI or Vercel AI Gateway.",{"question":625,"answer":626},"Does Conductor work on Windows or Linux?","No, Conductor is a macOS app only. The cloud workspaces on the Pro plan run on Conductor's servers, but you still start and manage them from the Mac app. On Windows or Linux, Orca and T3 Code cover the same parallel-worktree workflow.",{"question":628,"answer":629},"How is Conductor different from Orca?","Both give each agent its own git worktree. Conductor is the simpler, more polished Mac app with four agents and a paid hosted cloud. Orca is free and open source, runs on macOS, Windows, and Linux with mobile apps, supports more than 25 agent CLIs, and can self-host on your own server instead of paying for cloud workspaces.",{"summary":631,"starting_cost_label":632,"has_free_tier":3,"line_items":633},"Conductor's core tier is free, so for a solo developer working locally the bill is the agents: Claude Code starts at $20\u002Fmonth with no free tier, Codex has a limited free tier with Plus at $20\u002Fmonth, both reach $200\u002Fmonth, and Cursor is $20\u002Fmonth. Conductor Pro at $50\u002Fmonth adds cloud workspaces and multiplayer for up to five people; Teams is $60 per user per month. GitHub, GitHub Actions minutes, and Docker Desktop are free for personal use.","Free to start",[634,637,641,644,648],{"label":486,"cost":635,"note":636},"Free–$60\u002Fmo","Free for local workspaces; Pro is $50\u002Fmo with cloud workspaces and multiplayer; Teams is $60\u002Fuser\u002Fmo.",{"label":638,"cost":639,"note":640},"Coding agent subscriptions","Free–$200\u002Fmo each","Claude Code from $20\u002Fmo (no free tier); Codex free tier, Plus $20\u002Fmo; both up to $200\u002Fmo; Cursor $20\u002Fmo. One subscription per agent.",{"label":522,"cost":642,"note":643},"Free–$4\u002Fmo","Free for individual developers; GitHub Team is $4\u002Fmo per user for more seats and controls.",{"label":645,"cost":646,"note":647},"CI\u002FCD (optional)","Free tier available","GitHub Actions includes free monthly minutes before paid usage kicks in.",{"label":649,"cost":650,"note":651},"Docker (optional)","Free–$5\u002Fmo","Docker Desktop is free for personal use; Docker Pro adds team features from $5\u002Fmo.",{"title":653,"description":654,"og_image":34,"canonical":655},"Conductor Dev Stack: Tools, Pricing & How to Deploy | Tekyous","Run Claude Code, Codex, and Cursor's agent in parallel on your Mac with Conductor, each… Compare Conductor Dev Stack tools, pricing & how to deploy on Tekyous.","https:\u002F\u002Ftekyous.dev\u002Fstacks\u002Fconductor-dev-stack",1790518814565]