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.

New release highlights:

Howdy, partners!

The dust from launch has settled, and we've been cooking up one of the biggest upgrades yet: Modes.

Thank you, partners!

We just wrapped up Shotgun s launch on Product Hunt, and I want to say a huge thanks to everyone who supported us with upvotes, comments, shares, and especially feedback.

AI coding tools (Cursor, Claude Code, Lovable) are great at spitting out code but too often it s:

• Looks right, won t run

• Solves part of the problem, misses the intent

• Picks a stack you d never saddle up with

That s the cost of riding blind. Garbage in garbage out.

Hey fellow Vibe Coders!

One of the joys of vibe coding is seeing an idea take shape rapidly. But how often does that "shape" end up being a frontend-only prototype, and the dream of a fully functional app with your preferred tech stack (say, Next.js + PostgreSQL, or React + FastAPI) feels like a whole separate, slower project?

At Proofs, we're exploring how AI agents can bridge this gap, generating not just UIs but the entire underlying application structure, including backend logic and database setup, using popular open-source stacks.