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Run AI coding workflows with specs, TDD, memory, and quality gates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pilot-shell" yet — see the docs or source repo.
Using the pilot-shell approach, design a development workflow for a new web app feature: first produce a requirements clarification checklist, then generate the technical plan, task breakdown, test plan, and acceptance criteria, while enforcing TDD throughout.
A spec-driven development plan with requirement checks, implementation steps, test cases, and acceptance gates.
Create execution rules for my AI coding agent: it must write the spec first, then failing tests, then implementation code, and finally run linting, type checks, unit tests, and a code review checklist; if any step fails, it must stop and report back.
An agent-ready rule set that makes code generation controlled, testable, and reviewable.
Generate a persistent memory template for our AI development assistant that records coding style, architectural constraints, common pitfalls, testing requirements, and release checks, and explain how to update this memory at the start and end of each task.
A maintainable project memory template that helps the agent preserve consistency and quality across iterations.
Bootstrap agentic TypeScript coding for Claude Code with workflows and quality checks.
Enhance coding workflows with testing, reviews, automation, and multi-LLM delegation.
Coordinate Codex and local Claude Code for engineering, review, and automation workflows.
Understand your codebase in terminal and accelerate coding with natural language.
Securely let ChatGPT orchestrate local coding agents for edits and command execution.
Turn coding requests into verifiable plan-act-verify loops with durable repo evidence.