AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Spec Driven Development 🤠 Write codebase-aware specs for AI coding agents so they don't derail.
翻译准备中
开发工具Python · JinjaGitHub @shotgun-sh自行安装运营者未确认
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正在加载完整 README。 以下为已保存的摘录。
Write codebase-aware specs for AI coding agents (Codex, Cursor, Claude Code) so they don't derail.
AI agents are great at small tasks but derail on big features. They forget context, rebuild things that already exist, and go off-spec halfway through.
Shotgun fixes this. It reads your entire codebase, plans the full feature upfront, then splits it into staged PRs—each with file-by-file instructions your AI agent can actually follow.
Instead of one 10k-line monster PR nobody will review, you get 5 focused PRs that ship.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Write codebase-aware specs for AI coding agents (Codex, Cursor, Claude Code) so they don't derail.
AI agents are great at small tasks but derail on big features. They forget context, rebuild things that already exist, and go off-spec halfway through.
Shotgun fixes this. It reads your entire codebase, plans the full feature upfront, then splits it into staged PRs—each with file-by-file instructions your AI agent can actually follow.
Instead of one 10k-line monster PR nobody will review, you get 5 focused PRs that ship.查看完整 README ↗