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av / facts

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It's just facts

agents claude-code codex copilot gemini
12
2
100% credibility
Found May 06, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

A tool for creating and managing a living specification file in software projects, where facts about features are listed, verified via commands, tagged by status, and used by AI agents.

How It Works

1
🔍 Discover Facts

You hear about a simple way to list and track truths about your project, like what features are built or planned, so your AI helper stays in sync.

2
📥 Get It Set Up

With one quick action, you bring the tool into your toolkit, ready to use anywhere.

3
🚀 Start in Your Project

You prepare your project by creating a special note file that holds all the key truths about what your project does and should do.

4
✨ Write Your First Truth

You jot down a simple statement like 'users log in safely' and mark if it's a rough idea, ready to build, or already done.

5
✅ Verify What's Real

You check everything at once, seeing instantly which truths hold up with proof and which need work.

6
🤖 Team Up with AI

Your AI assistant learns special instructions to read the truths, build missing ones, and keep everything current as you code.

🎉 Project Truths Alive

Now your project spec updates itself—every change verified, progress tracked, and your AI always knows the full picture.

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Star Growth

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AI-Generated Review

What is facts?

Facts is a Rust CLI for fact-driven development, turning your project spec into a verifiable Markdown factsheet. Write atomic claims like "all tests pass" with shell commands for machine checks, or tag them @draft/@spec/@implemented for agent workflows—run `facts check` to verify everything green, or `facts list` to scan progress. Unlike scattered docs or cat facts github gimmicks, it keeps facts about california-scale projects (or canada, deutsch, hindi facts) precise and executable.

Why is it gaining traction?

It bridges specs and code with agent skills—`facts-discover` scans your repo to sync factsheets, `facts-implement` builds @spec items automatically—making AI coding reliable without facts and fiction confusion. Cross-platform install via curl/npm/pip, CI-friendly exit codes, and self-dogfooded on 200+ facts set it apart from plain Markdown or bloated tools like Factset/Factscience. Fun facts github? This grounds facts htb github writeups in reality.

Who should use this?

AI agent users (Claude/Cursor) building facts htb walkthroughs or facts students prototyping apps. Solo devs wanting facts you didn't know about their codebase, or teams maintaining factsheets over it facts movie-style sprawl. Ideal for Rust/Node/Python stacks needing spec-first discipline without factsheet bloat.

Verdict

Try it if agents are your workflow—solid docs, MIT license, agent skills ship ready—but 12 stars and 1.0% credibility score mean it's early; test on toy projects first. Promising for facts grounding github habits, less for production yet.

(198 words)

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