Hyrax AI

Product Introduction

1. Definition: Hyrax AI is an autonomous codebase intelligence and remediation platform. It is a specialized AI agent that performs continuous, holistic analysis and improvement of software architecture and code quality, operating as a layer above traditional AI coding assistants and static analysis tools.
2. Core Value Proposition: Hyrax AI exists to transform raw AI-driven development velocity into sustainable, high-quality software. It solves the architectural drift and technical debt accumulation that accelerates when teams use AI coding tools like GitHub Copilot or Cursor, by providing systematic, verified improvements that uphold codebase integrity.

Main Features

1. Deep Codebase Context & Architectural Mapping: Hyrax begins by statically analyzing the entire repository to build a persistent, evolving map of modules, entry points, dependencies, and ownership. This foundational context allows it to understand architectural patterns, conventions, and layering (e.g., ensuring src/domain does not import from src/api), moving beyond file-by-file analysis to a system-wide view.
2. Multi-Domain Agentic Analysis: Six specialized AI agents operate in parallel to evaluate the codebase across critical engineering domains: Security, Correctness, Maintainability, Performance, Architecture, and Operations. This multi-faceted audit prioritizes issues based on impact, not just severity, identifying high-leverage improvements that a single linter or security scanner would miss.
3. 13-Step Verified Remediation Pipeline: This is Hyrax's core technical differentiator. When an issue is identified, the fix undergoes a rigorous, automated verification gate before a pull request is ever created. The process includes: execution in an isolated worktree, running the existing test suite pre- and post-change, executing the build, linting, formatting, a diff size limit, a secondary review by an independent agent, a re-scan to confirm issue resolution, and finally, integration with your CI. Failed checks halt the process, ensuring only production-ready changes reach developers.
4. Automated, Human-in-the-Loop PR Generation: Approved fixes are automatically implemented and submitted as GitHub pull requests prefixed with [Hyrax] for clear identification. Hyrax never auto-merges; a human engineer must review and approve every change, maintaining ultimate control while delegating the discovery and implementation work.
5. Integrated PR Review & Governance: Hyrax also reviews every opened pull request (offering 100 free reviews monthly) against the codebase's established conventions and can block merges on must-fix findings. Accepted improvements are fed back into its deterministic scanner, creating a self-improving system that codifies team standards.

Problems Solved

1. Pain Point: Architectural Decay in AI-Native Development. While AI coding assistants accelerate code creation, they lack context of the overall system, leading to inconsistent patterns, dependency violations, and accumulating technical debt that slows teams down over time.
2. Target Audience: Platform Engineering Teams, Staff/Principal Engineers, and Engineering Leaders in mid-to-large-sized organizations who are adopting AI coding tools and need to govern output quality. It's also critical for security engineers and DevOps teams tasked with maintaining code health and operational standards at scale.
3. Use Cases: Enforcing Architectural Boundaries (e.g., preventing UI layer logic from leaking into the domain layer). Continuous Dependency Hygiene (identifying and fixing cycles, outdated packages). Proactive Security & Compliance Remediation (applying security patches, fixing vulnerability patterns). Onboarding & Knowledge Transfer (using the architectural map to understand a new codebase). Legacy Code Modernization (systematically identifying and refactoring monolithic or tangled code.

Unique Advantages

1. Differentiation: Unlike point-in-time SAST/SCA scanners (e.g., Snyk, SonarQube) that only report issues, Hyrax fixes them with verified PRs. Unlike AI pair programmers (e.g., Copilot, Cursor) that assist with writing code, Hyrax assists with architecting and maintaining the system the code lives in. It provides persistent context, whereas assistants start each session with a blank slate.
2. Key Innovation: The 13-step verification pipeline combined with multi-agent, context-aware analysis. This transforms speculative AI code generation into deterministic, safe improvement delivery. The integration of a persistent architectural map with specialized agents allows it to reason about cross-cutting concerns and systemic issues, not just syntactic errors.

Frequently Asked Questions (FAQ)

1. How does Hyrax AI's code verification ensure changes don't break my build? Hyrax AI employs a deterministic 13-step verification gate that runs in an isolated environment. It executes your full test suite both before and after the change, runs your build process (e.g., npm run build, go build), and applies linters and formatters. If any of these required steps fail, the fix is discarded and never becomes a pull request, guaranteeing build integrity.
2. What programming languages and frameworks does Hyrax AI support for automated code improvement? Hyrax AI supports 19 languages including Python, TypeScript/JavaScript, Go, Rust, Java, C#, C++, Ruby, PHP, and Swift. It seamlessly works with major frameworks built on these languages such as React/Next.js, Vue, Svelte, Angular, Node.js, Django, Rails, Spring, FastAPI, Express, React Native, and Flutter.
3. Is Hyrax AI a replacement for GitHub Copilot or other AI coding assistants? No, Hyrax AI is a complementary platform. Use AI coding assistants (Copilot, Cursor) to write code faster, and use Hyrax AI to ensure the code being written adheres to architectural standards, is secure, performant, and maintainable. Hyrax provides the system-level governance for AI-native development velocity.
4. How does Hyrax AI's pricing model work for development teams? Hyrax AI uses a credit-based meter with no feature walls. The Free plan includes full platform access, a $30 starter credit, $10 in monthly credits, and 100 free PR reviews. The Paid plan is $30 per user per month, with each seat receiving $30 in monthly credits for repository scans, fixes, and reviews. Overage is strictly opt-in with user-defined budget caps.
5. How does Hyrax AI handle data security and privacy for my proprietary source code? Hyrax AI operates through GitHub integrations and never merges code autonomously. All AI inference runs on AWS Bedrock in Hyrax's secure account. The company has a strict policy of not training its models on customer code, ensuring your intellectual property remains confidential and is not used to improve public models.