Trag

Trag is an AI code-review assistant that turns your team’s coding standards into executable, auto-run review rules using NLP and retrieval-augmented generation. It hooks into every PR to surface issues instantly, so dev teams ship cleaner code faster.

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AI code reviewautomated code review toolGitHub code review botGitLab merge request checkernatural-language lint rulesCI/CD code quality gateteam coding standards automationpull-request code analysis

Features of Trag

Write review rules in plain English—no YAML or regex required

Understands project structure, dependencies and patterns; catches circular refs, dead imports, etc.

Auto-triggers on every PR and posts human-like comments in real time

One-click GitHub & GitLab apps—install the bot and it reviews every pull/merge request instantly

Local CLI for instant feedback before you even push

Works with every major language in one unified setup

Share rule libraries across the team with role-based access

Dashboards show code-health trends and exactly where to pay down tech debt

Use Cases of Trag

Pre-review every PR automatically to stop bugs before they hit main

Turn a Slack message like “never log secrets” into an enforced rule in seconds

Add a quality gate to your CI/CD pipeline with zero config

Enforce one coding standard across dozens of repos

Onboard new devs: the bot coaches them on your style while they code

Spot logic flaws, duplicated code and perf smells that linters miss

Open-source maintainers keep contributions clean on the free tier

Mid-size & enterprise teams centralize standards and cut technical debt

FAQ about Trag

QWhat is Trag?

Trag is an AI code-review assistant that converts your team’s natural-language rules into automated checks that run on every pull request.

QWhich platforms does Trag integrate with?

GitHub and GitLab. Install the Trag app and it starts reviewing PRs/MRs immediately.

QDo I need to write code or config files to create rules?

No—just type “don’t log sensitive data” (or any plain-English guideline) and Trag enforces it.

QWhat languages are supported?

All mainstream languages; one setup covers poly-repo, poly-language codebases.

QIs there a free plan?

Yes—open-source projects use Trag free forever. Paid plans start at $300 per repo; enterprise pricing is custom.

QCan I run Trag locally?

Absolutely. The CLI gives instant feedback on your laptop so you fix issues before pushing.

QHow is Trag different from traditional linters?

Linters rely on fixed syntax rules; Trag understands context across files and versions, catching logic, redundancy and security issues that syntax tools miss.

QWho should use Trag?

Individual devs, fast-growing teams, open-source maintainers—anyone who wants consistent, automated code review without extra manual work.

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