Hyrax helps engineering teams understand what's happening across their codebase, identify what matters, and turn improvements into production-ready changes. It maps your codebase and understands how your product is built, then six specialized agents evaluate security, correctness, maintainability, performance, architecture and operations. The highest-leverage work becomes verified pull requests in GitHub. An engineer reviews and merges every one.

How does pricing work?

Free gives every workspace full access to Hyrax, a $30 starter credit, $10/month ongoing credit, and up to 100 PR reviews a month for free, with no card required. Paid is $30 per user per month, and each paid user gets $30/month of credits. Credits meter usage across repository mapping, verified improvements, and PR reviews; there are no feature walls. Overage is opt-in with budget caps.

When do I need a paid seat?

When a developer wants deeper access: opening full summaries in Hyrax, asking Hyrax to fix an issue, or running more workflows than the free credits cover. Each paid user gets $30/month of credits, and paid workspaces can opt in to overage with a budget cap they set.

What is the 13-step verification?

The 13-step verification gate checks an improvement before it reaches your team as a pull request. It covers isolated worktree execution, the tests it started with, the tests after the change, your build, lint and formatting, a size limit on the diff, a second review by an independent agent, a re-scan to confirm the original issue is gone, and CI. If a required check fails, the work stops and never becomes a PR.

How is Hyrax different from AI coding assistants?

AI tools write code. Hyrax architects the system that code enters. Assistants edit what you point them at, and their context starts empty every session. Hyrax holds the map of your codebase, and six specialized agents reason about security, correctness, maintainability, performance, architecture and operations before anything ships. Use both.

Scan reads the whole codebase first, so it understands your architecture and conventions, then looks for problems the way a reviewer would. It produces a ranked list of findings and easy wins, each with a plan for the fix.

Every change ships as a pull request with the [Hyrax] prefix. PR Review reviews every opened pull request automatically against the codebase conventions, leaving comments that update as the code changes. It can block merge on must-fix findings. You get up to 100 PR reviews a month for free.

What languages are supported?

Hyrax works across 19 languages: Python, TypeScript, JavaScript, Go, Rust, Swift, Ruby, Java, Kotlin, C#, C++, C, PHP, Scala, Dart, Elixir, Shell, Lua, and MDX. It works with the frameworks built on them: React, Next.js, Vue, Svelte, Angular, Node.js, Django, Rails, Spring, FastAPI, Express, React Native, and Flutter.

What integrations are supported?

GitHub for source control. Linear for ticket management. Tickets are created on audit and closed automatically when fixes merge.

Hyrax works through GitHub with human control, and it never merges on its own. Verification runs before a pull request reaches your team, and your engineers make the final call. All inference runs in the Hyrax AWS Bedrock account, and Hyrax does not train on customer code.

New: Hyrax MCP gives Claude Code, Cursor, and Copilot live codebase context.Read the announcement

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Code Health

The state of the codebase and the practices that keep it sound. Decay, duplication, readability, refactoring, and the review gates that catch problems before they ship.

Code HealthAugust 20, 20265 min read
96% Distrust AI Code. Only 48% Actually Check It.
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Automated code refactoring: shrinking technical debt with verified fixes
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Code HealthJune 29, 20266 min read
Clean Code No Longer Signals Quality. What Does.
AI-generated code looks impeccable by every traditional review signal. That's the problem. Here's what reviewers must measure instead.
Code HealthJune 8, 20265 min read
60% Ship Untested. Uber Spent It All. The Data Is In.
Tricentis surveyed 2,501 leaders in April 2026 and found 60% of organizations are shipping untested code. Uber burned its entire AI budget in four months. The numbers confirm what was anecdotal.
Code HealthMay 14, 202610 min read
Five AI-code failures your CI does not catch
Each failure mode has a specific config block under 15 lines that catches it. The full set runs in under a minute. Add them in one sprint.
Code HealthApril 30, 20268 min read
AI slop: what it is, what it costs, and how to see it in your repo
Slop is low-effort AI-generated code that looks plausible and compiles. The cost is downstream and measurable. Three signals make it visible on your repo today.

Code Health

96% Distrust AI Code. Only 48% Actually Check It.

Automated code refactoring: shrinking technical debt with verified fixes

Clean Code No Longer Signals Quality. What Does.

60% Ship Untested. Uber Spent It All. The Data Is In.

Five AI-code failures your CI does not catch

AI slop: what it is, what it costs, and how to see it in your repo