AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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Spec Driven Development 🤠 Write codebase-aware specs for AI coding agents so they don't derail.
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開發工具Python · JinjaGitHub @shotgun-sh自行安裝營運者未確認
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正在載入完整 README。 以下為已儲存的摘錄。
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.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
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.檢視完整 README ↗