Trag

Maker

📌

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!

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7mo ago

Raju Singh

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@hovo_ghevondyan1 @movses_saponjyan @kh_mugh Hey guyz, great work btw. Just curious to know if the review includes the basics on coding best practices, security and prod readiness. What i am struggling with AI coders is they are able to achieve functional requirement but mess up code big time which is just to try out but never prod ready.

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7mo ago

Khachatur Virabyan

Trag

Maker

@hovo_ghevondyan1 @movses_saponjyan @imraju Hey! Thank you very much! That is the exact thing we want to achieve, Trag reviews the code with the rules but also does general reviews if you enable it in settings. It will review the code using multiple static analyzers for security, and depending on the language with it's standards. The main thing is that you describe the prod readiness as granular rules and whether it's human generated code or AI generated code, Trag will enforce it, and make it look like you want to!

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7mo ago

Raju Singh

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@hovo_ghevondyan1 @movses_saponjyan @kh_mugh Thanks Khachatur. Can you point me to some documentation Trag has which helps me understand how you review prod readiness and overall best practices setting specially React / Angular / Node frameworks

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7mo ago

Khachatur Virabyan

Trag

Maker

@hovo_ghevondyan1 @movses_saponjyan @imraju The documentation is not fully released sorry for that, but happy to jump on a quick call and go over everything.

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7mo ago