Trag

Hey Product Hunt community! I’m Khachatur (or K for short), co-founder & CEO of Trag along with @hovo_ghevondyan1 and @movses_saponjyan . I’m sure you’ve noticed that AI in software is growing rapidly. As engineers, we feel this is the missing piece in our journey to automate everything. Now we can automate more, enabling us to focus on what truly matters. The industry has never seen such rapid growth in codebases, thanks to amazing tools like GitHub Copilot, Cursor, and others. Engineering teams of the same size now have to manage much larger code changes, reviews, and processes. Trag is an AI code review companion. One of our customers described us as a “superlinter,” which we take as a compliment! So, what does that mean? There’s a lot of tribal knowledge in engineering teams that only comes out during pair programming sessions or general code reviews. Trag automates that tribal knowledge into 100% deterministic rules and enforces them on every pull request. Think of Trag as an extra teammate who already knows where to look. What makes Trag different? Trag focuses on one simple thing: matching a written rule to the code. It doesn’t perform vague or overly general code reviews. We believe you know what’s best for your repo, and we’re here to help you automate it. We would be delighted if you’d try Trag out with your team or even on a side project. As Trag is still young and we’re early in our journey, things might feel a little off at times, but we’re always here to listen and improve based on your feedback! Here’s what we offer: 🧠 Automate your knowledge: Write plain English descriptions about your codebase and describe how you want it to look like or certain things to work. 🔎 Codebase understanding: Trag has its own custom programmatic search across the entire codebase, even spanning multiple repos. That means Trag understands your whole repo and gets the context right. 🚀 Minimal setup: Just install Trag on your repo, write the rules, and of course, open a pull request! If you want to learn more: Please visit https://usetrag.com/ Join our discord https://discord.gg/XEH5Gnhg Promo code to get 50% off for 3 months - TRAGPH Try it out yourself! We will be in the comments to respond to you folks!

Congratz with the launch! The idea of defining more generic linting rules with plain English is indeed promising, will try it out on our repos.

Here because, David from Treblle said this is a cool product to check out. :D

Hi Khachatur, Trag sounds like a game-changer for managing code reviews efficiently. The idea of automating tribal knowledge into deterministic rules is fascinating. How easy is it to customize the rules for different projects or teams? Looking forward to seeing how Trag evolves!

Personally testing this product out from its inception and being a loyal customer for the past 6 months, I have to say this is the best tool out there. Congrats to Khachatur, Hov and Movses on this launch. Great team with a great product!!!

Congrats on the launch! I love your landing page: straightforward and super easy to navigate. You made it simple yet effective.

Hey, I'm the CTO of https://usetrag.com Let me share some numbers about our customers and real-world usage examples on Trag production codebase. Our customers collectively have already reviewed 3149 pull request in github and created 229 unique rules. We are dogfooding Trag and here are some issues that were detected during code reviews: - Security: https://drive.google.com/file/d/... - Performance: https://drive.google.com/file/d/... - Violation of our tribal rules: https://drive.google.com/file/d/... https://drive.google.com/file/d/... - Dumb mistakes which are maybe 80% of the cases: https://drive.google.com/file/d/... and many more.