Hyrax AI

About Hyrax AI

Hyrax AI is a code quality tool that connects to GitHub repositories to perform autonomous code review and remediation. It audits codebases across six engineering domains, writes fixes for identified issues, and submits those fixes as pull requests for team review. The tool also reviews new pull requests against the full repository context, not just the changed lines.

Review

Hyrax AI takes a different approach from standard code review tools by auditing entire repositories rather than limiting its analysis to pull request diffs. The tool writes a failing test to confirm a problem exists before reporting it, then runs the repo's own tests, build, and lint checks before delivering a fix. This verification pipeline means the fixes that land on a developer's desk have already passed the project's existing quality gates.

Key Features

• Full repository audit across six categories: Security, Correctness, Maintainability, Performance, Architecture, and Operations
• Automated fix generation that opens a GitHub pull request - first as a draft, then marked ready once CI passes
• Context-aware PR reviews that check changes against type definitions, sibling files, dependencies, and migration state
• Self-verification loop: writes a failing test to prove the issue, then runs repo tests, build, and lint on the proposed fix
• MCP server that profiles repository architecture, conventions, and how-to guides for use by coding agents

Pricing and Value

The free plan includes a mini audit, 5 findings, and 5 fixes per month with no credit card required. New signups receive a $30 credit that doesn't expire, plus $10 per month in credit. The paid tier costs $30 per seat per month, with the full amount returned as usage credit. All plans include the full feature catalog, unlimited repositories and teammates, and MCP access.

Pros

• Fixes are verified against the repository's own test suite and build pipeline before delivery
• Limits findings to 7 at a time per PR review, helping teams focus on higher-priority items
• Internal process argues against each finding before posting it, aiming to reduce false positives
• Failed CI checks trigger automatic re-attempts - Hyrax reads the failure and pushes another fix
• Supports all programming languages according to the maker's statement

Cons

• Domain-specific filtering during audits is not yet available; the tool currently proposes fixes across all six categories at once
• The tool is not well suited for teams that want granular control over which issue categories get addressed in a given audit run
• Access is blocked for visitors from certain regions, including China, and some users in India have reported being blocked as well

Hyrax AI fits teams that are shipping code faster than their review capacity and need automated assistance that goes beyond surface-level linting. The verification pipeline and self-correcting CI loop make it practical for repos with established test suites and build processes. Teams that prefer to manually triage fixes by domain or that operate in regions with access restrictions may find the current feature set and availability limiting.