Shotgun writes codebase-aware specs for AI coding agents so they don't derail.
The problem we're solving: AI agents made developers fast at building. Also made them fast at building the wrong things. Cursor, Claude Code, Copilot they generate code immediately without asking: does this already exist in your codebase? Does a better solution exist externally?
If generating code is a commodity, then what is built, and how is the most critical question to answer.
This is the goal of Shotgun - to help you turn technical research and spec generation into context for software engineers, AI code-gen tools like Codex, Cursor, Claude Code, with complete codebase understanding, and agents doing the heavy lifting.
Shotgun produces clean, reusable artifacts and exports to the agents.md ecosystem to help you get the most out of code-gen tools and Agents.
Your AI posse for researching, planning & building software. Repo-aware, multi-agent, and local-first — Shotgun creates decision-ready specs and shareable artifacts that truly capture your intents and context, so AI tools finally build what you mean.
Build a working full stack Proof-of-Concept in the time it takes to book a demo. Bring your tech stack or idea into Proofs and get deployable code plus a live link you can work, fork or share with your prospects. Sign up and try now for free 👉🏻 app.proofs.io
Shotgun CLI
