Turn Endless Iterations into One-Shot Features.

Shotgun writes codebase-aware specs for your AI coding agents so they don't derail and build what you want.

The Problem: Your AI agent (Cursor, Lovable, Claude Code) starts strong, then loses context and goes off-rails. You spend hours re-prompting because it doesn't understand your existing codebase. You're stuck in iteration hell—not because AI is bad, but because it's working without the right prep work.

How Shotgun Works (it does what your AI agent needs but can't do itself):
1. Index your entire codebase
2. Research how features should fit your architecture
3. Generate technical specs with full context baked in
4. Break down implementation into clear tasks
5. Export to whatever AI coding agent you use

The result: Your AI agent builds entire features correctly instead of fragments that need constant correction.

What You Get
→ AI agents that work longer without derailing (sustained quality, not just speed)
→ Features that respect your existing architecture (no technical debt)
→ Stop re-explaining your codebase every time (index once, use everywhere)

Early users report: "Made Cursor and Lovable basically one-shot the new features."

What's Next:
We're building multiplayer mode for engineering teams and non-technical stakeholders—real-time collaboration on specs, web-based codebase research for PMs and EMs, shared context across the entire team.

Looking for design partners: CTOs scaling AI development who feel coordination pain.

Open source. CLI-first. Built for developers who work with AI coding agents.

→ Try Shotgun: github.com/shotgun-sh/shotgun
→ Design partners: bartek.pucek@shotgun.sh

Shotgun CLI

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