Better pull request reviews with AI

Better pull request reviews with AI

Ship cleaner, more reliable code faster
with automated pull request reviews—designed for developers.

Ship cleaner, more reliable code faster
with automated pull request reviews—designed for developers.

Core features of Trag

Core features of Trag

Trag simplifies code reviews with custom rules, real-time feedback, and seamless integration.

Our AI code reviewer gives instant feedback to save you time and effort. Catch unwanted prompts or logic errors early on and fix them on the spot.

Customized rule-based reviews
Customized rule-based reviews

Set specific PR review rules to fit your rules. You can configure checks for naming conventions, deprecated methods, or architectural patterns. Stay consistent, prevent errors, and make sure reviews serve your team’s development goals.

Set specific PR review rules to fit your rules. You can configure checks for naming conventions, deprecated methods, or architectural patterns. Stay consistent, prevent errors, and make sure reviews serve your team’s development goals.

Real-time feedback via CLI
Real-time feedback via CLI

Get instant feedback directly in the CLI. Trag flags logic errors, potential bugs, or style violations and provides actionable suggestions to fix them, preventing small issues from escalating into larger delays.

Get instant feedback directly in the CLI. Trag flags logic errors, potential bugs, or style violations and provides actionable suggestions to fix them, preventing small issues from escalating into larger delays.

Language-agnostic support
Language-agnostic support

Trag supports all programming languages, so you can switch from one project to another without swapping tools. Catch errors in any language, reduce irrelevant feedback, and save you time by focusing on critical issues.

Trag supports all programming languages, so you can switch from one project to another without swapping tools. Catch errors in any language, reduce irrelevant feedback, and save you time by focusing on critical issues.

Context-aware, custom code analysis
Context-aware, custom code analysis

Trag learns your project’s structure, libraries, and patterns. It spots design patterns, applies custom rules, and analyzes dependencies to catch issues like circular references or unused imports.

Trag learns your project’s structure, libraries, and patterns. It spots design patterns, applies custom rules, and analyzes dependencies to catch issues like circular references or unused imports.

Seamless pull request integration
Seamless pull request integration

Trag integrates directly with platforms like GitHub and GitLab, automatically analyzing every PR on the spot. You get real-time code reviews without disrupting your process. Configure custom actions like auto-assigning reviewers or prioritizing critical checks.

Trag integrates directly with platforms like GitHub and GitLab, automatically analyzing every PR on the spot. You get real-time code reviews without disrupting your process. Configure custom actions like auto-assigning reviewers or prioritizing critical checks.

Team collaboration
Team collaboration

Bring your team together to collaborate in the same repo and build custom rules as a group. With shared input, you can ensure the rules fit your project’s needs and align with everyone’s standards.

Bring your team together to collaborate in the same repo and build custom rules as a group. With shared input, you can ensure the rules fit your project’s needs and align with everyone’s standards.

How it works

Install GitHub application and that's pretty much it.

Step 1

Connect your code repository

Start by connecting Trag to your code repository and activate it to begin reviewing your pull requests.

Step 2

Define custom patterns

Set up project-specific rules or use predefined ones to match the review process with your coding needs.

Step 3

Open a pull request

Submit your PR, and Trag will review the code changes, populate the PR with comments, and enforce your rules.

How it works

Install GitHub application and that's pretty much it.

Step 1

Connect your code repository

Start by connecting Trag to your code repository and activate it to begin reviewing your pull requests.

Step 2

Define custom patterns

Set up project-specific rules or use predefined ones to match the review process with your coding needs.

Step 3

Open a pull request

Submit your PR, and Trag will review the code changes, populate the PR with comments, and enforce your rules.

How it works

Install GitHub application and that's pretty much it.

Step 1

Connect your code repository

Start by connecting Trag to your code repository and activate it to begin reviewing your pull requests.

Step 2

Define custom patterns

Set up project-specific rules or use predefined ones to match the review process with your coding needs.

Step 3

Open a pull request

Submit your PR, and Trag will review the code changes, populate the PR with comments, and enforce your rules.

Why choose Trag for AI PR reviews?

Trag speeds up PR reviews, maintains the quality,

and reduces back-and-forth without disrupting your coding sprint.

Improved code quality

With project-specific rules and real-time analysis, your codebase stays clean and reliable. By catching edge cases, flagging deprecated methods, and following coding standards, Trag helps you write high-quality code—even in complex projects.

Faster review cycles

Trag catches issues at the line level. From detecting edge cases to flagging inefficient code, it automates the repetitive checks that often slow down developer velocity. You can close PRs faster without compromising quality.

Fewer back-and-forths on PR comments

The AI pull request review detects common issues like inconsistent formatting, logic errors, or possible conflicts upfront so you can avoid the long revision process. Focus on specific feedback to save time and improve collaboration.

Why choose Trag for AI PR reviews?

Trag speeds up PR reviews, maintains the quality,

and reduces back-and-forth without disrupting your coding sprint.

Improved code quality

With project-specific rules and real-time analysis, your codebase stays clean and reliable. By catching edge cases, flagging deprecated methods, and following coding standards, Trag helps you write high-quality code—even in complex projects.

Faster review cycles

Trag catches issues at the line level. From detecting edge cases to flagging inefficient code, it automates the repetitive checks that often slow down developer velocity. You can close PRs faster without compromising quality.

Fewer back-and-forths on PR comments

The AI pull request review detects common issues like inconsistent formatting, logic errors, or possible conflicts upfront so you can avoid the long revision process. Focus on specific feedback to save time and improve collaboration.

Why choose Trag for AI PR reviews?

Trag speeds up PR reviews, maintains the quality,

and reduces back-and-forth without disrupting your coding sprint.

Improved code quality

With project-specific rules and real-time analysis, your codebase stays clean and reliable. By catching edge cases, flagging deprecated methods, and following coding standards, Trag helps you write high-quality code—even in complex projects.

Faster review cycles

Trag catches issues at the line level. From detecting edge cases to flagging inefficient code, it automates the repetitive checks that often slow down developer velocity. You can close PRs faster without compromising quality.

Fewer back-and-forths on PR comments

The AI pull request review detects common issues like inconsistent formatting, logic errors, or possible conflicts upfront so you can avoid the long revision process. Focus on specific feedback to save time and improve collaboration.

How teams use Trag

How teams use Trag

Use our AI to make sure every PR meets your project’s standards.

Our AI code reviewer gives instant feedback to save you time and effort. Catch unwanted prompts or logic errors early on and fix them on the spot.

Saving time and brain power
Saving time and brain power

Manually checking for bugs, enforcing rules, and hunting for redundancies take time and effort. Trag’s automated code analysis gives you more time to focus on creative problem-solving, exploring innovative solutions, or just coding without interruptions.

Identifying and removing duplicate code
Identifying and removing duplicate code

Duplicate code can make projects unnecessarily complex, complicating maintenance and increasing technical debt. With the duplicate code finder, Trag detects repeated patterns and suggests ways to consolidate them so you can keep your codebase clean.

Maintaining high code quality
Maintaining high code quality

High-quality code is consistent, easy to maintain, and free of errors, but achieving this across multiple projects can be a challenge. Trag enforces coding guidelines and flags issues automatically so you can handle multi-project workloads while keeping your code clean.

High-quality code is consistent, easy to maintain, and free of errors, but achieving this across multiple projects can be a challenge. Trag enforces coding guidelines and flags issues automatically so you can handle multi-project workloads while keeping your code clean.

Enhancing team collaboration
Enhancing team collaboration

Collaboration calls for clear communication and fewer roadblocks. Trag improves collaboration by catching issues early, so teammates don’t have to call out mistakes or enforce rules themselves. This helps avoid friction, builds trust, and keeps the team focused.

Collaboration calls for clear communication and fewer roadblocks. Trag improves collaboration by catching issues early, so teammates don’t have to call out mistakes or enforce rules themselves. This helps avoid friction, builds trust, and keeps the team focused.

Test-drive Trag
on your repo

Try Trag on your repo and let our AI handle your pull requests for cleaner, higher-quality code.

Test-drive Trag
on your repo

Try Trag on your repo and let our AI handle your pull requests for cleaner, higher-quality code.

Test-drive Trag
on your repo

Try Trag on your repo and let our AI handle

your pull requests for cleaner, higher-quality code.

Test-drive Trag
on your repo

Try Trag on your repo and let our AI handle

your pull requests for cleaner, higher-quality code.