AI Captain gives you specialist AI agents inside VS Code: code, test, debug, review, refactor and ship, all working together like a real crew.
/code add input validation to the signup form
Your AI crew handles the heavy lifting, right inside VS Code.
Nine slash commands that supercharge your development workflow with AI-powered coding, testing, debugging, reviewing, and planning.
Describe what you want, and AI Captain writes the code. Changes are automatically reviewed and refined until they pass quality checks.
@aicaptain /codeGet instant, expert-level code reviews. Finds bugs, security issues (OWASP), performance problems, and suggests best practices.
@aicaptain /reviewDetects your test framework, matches existing patterns, and generates unit, integration, and e2e tests that actually run.
@aicaptain /testReads errors, traces call chains, identifies root causes, and proposes minimal fixes. Analysis-first approach.
@aicaptain /debugAI Captain 0.5 orchestrates 19 specialist agents across your development workflow. Version 1.0 folds them into 8 sharper roles.
Type your request in Copilot Chat or the Activity Bar sidebar. AI Captain detects your intent automatically.
Using your workspace context, Copilot generates precise search-replace edits and applies them to your files.
Specialist agents handle testing, debugging, security auditing, code review, refactoring, and more, each optimized for its domain.
If critical issues are found, AI Captain fixes them automatically. The loop continues until the code passes review.
Unlike traditional linters, AI Captain's reviews check correctness, security (OWASP), types, architecture, performance, and style with a structured checklist.
AI Captain is being rebuilt as one plugin that Claude Code and GitHub Copilot both load. A deterministic core does the checking, so the AI only handles what needs judgment.
Diff, typecheck, lint and test results, secrets and risky paths. The core gathers them before the model sees the task.
The model writes and reviews the code and reports findings in a fixed schema: file, line, severity and evidence.
Rules decide: GO or NO-GO before a commit, done or not done before the agent may stop. Same input, same verdict.
When the agent wants to stop, a stop gate runs your project's typecheck and the related tests. Red sends it back to work with the exact file and line. Green lets it finish. After three attempts, or if the core itself fails, the gate steps aside and tells you.
That is the plan for 1.0, and the first spike already showed the gate holding in Claude Code.
No release date yet. Each phase ends with a check that decides whether the next one starts.
The VS Code extension (0.5) is what the sections above describe. With 1.0 its logic moves into the plugin, and the extension becomes a slim companion with a status bar and a memory view.
AI Captain is free and MIT licensed. You bring the AI: GitHub Copilot today, Claude Code with 1.0.
Everything in 0.5: 19 agents, 9 commands
Not on the VS Code Marketplace yet.
Version 0.5 needs VS Code 1.99 or later and the GitHub Copilot Chat extension. Version 1.0 is planned as a plugin that runs in Claude Code as well as in VS Code with GitHub Copilot.
AI Captain is not on the VS Code Marketplace yet. The first public release is planned as version 1.0; the route above shows how it gets there.
Yes. AI Captain is free and MIT licensed. You bring the AI: a GitHub Copilot subscription today, Claude Code with 1.0.
Version 0.5 adds three things: an autonomous coding loop that applies and reviews changes, specialist agents for testing, debugging, security auditing and refactoring, and a memory bank that remembers decisions across sessions. Version 1.0 goes further: a deterministic core runs your project's checks and decides when work is done, instead of leaving that to the model.
AI Captain works with any language or framework your AI model handles: TypeScript, JavaScript, Python, Go, Rust, Java, C#, and many more. The 1.0 core is designed to find your project's typecheck, lint and test commands on its own.
Your code is processed by the AI model you already use: GitHub Copilot today, Claude Code with 1.0. AI Captain itself has no backend and no telemetry.
Version 0.5 includes agents for coding, testing, debugging, security auditing, code review, pre-commit review, refactoring, migration, docs writing, rapid MVP building, production readiness, multi-agent pipelines, full-stack development, architecture, performance, planning, TDD, build fixing and tech stack analysis. With 1.0 they become 8 roles with enforced tool rights: implementer, planner, reviewer, debugger, tester, security, refactorer and docs.
There is no date yet. Phase 0, a technical spike, is under way, and each phase only starts once the previous one has passed its checks.