#259 · Primary category: AI Coding Assistants

pilot-shell

ai-agents ai-assistant ai-coding ai-coding-tools ai-engineering ai-tools anthropic anthropic-claude claude claude-ai claude-code claude-context claude-skills claudecode codex codex-cli openai spec-driven-development

How real engineers run Claude Code and Codex: spec-driven planning, enforced TDD, persistent memory, and quality enforcement on all levels. Make your agents production-ready.

Project last updated:08/28/26

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Why we included this project

Claude Code and Codex CLI write code fast, but without structure they skip tests and lose context between sessions. The output drifts from the original requirements. Pilot Shell wraps those agents in a workflow that forces discipline: a `/prd` step turns rough ideas into clear requirements, `/spec` takes a feature from plan to verified implementation with enforced TDD, and `/build` runs autonomously in judge loops until a goal you name passes. Quality hooks run linting, formatting, type checking, and tests as gates on every edit, while captured decisions and project knowledge persist in a local database and can be shared with teammates through the repository. If you want agent-assisted coding to feel more like disciplined software development and less like a free-for-all, this is a practical way to add planning and verification to the loop.

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