AI-powered code review that detects bugs, security issues, and inefficiencies by understanding your codebase context.
Navigate complex codebases easily with our comprehensive knowledge graph visualization system.
Native GitHub integration for seamless connection with your existing development workflow.
Our AI-powered code review agent analyzes pull requests with deep contextual understanding, providing actionable feedback that identifies potential bugs, security vulnerabilities, and performance issues. It suggests improvements based on best practices and your team's conventions, reduces bottlenecks by handling routine reviews automatically, and learns from feedback to continuously improve review quality.
The agent maintains conversation memory to provide consistent guidance and builds an evolving understanding of your codebase patterns.
Our code knowledge graph creates a comprehensive map of your entire codebase. It visualizes relationships between classes, functions, and modules, making complex dependencies and inheritance structures instantly understandable. The graph enables targeted searches for specific code patterns or implementations and provides context for code reviews and architectural decisions.
The knowledge graph becomes your team's shared memory, making onboarding faster and collaboration smoother.
Our upcoming suite of specialized development agents will extend Automation Yard's capabilities:
Easily sync with GitHub for secure, real-time code access and analysis.
AI analyzes, tests, and optimizes your code for speed and efficiency.
Push production-ready code with enhanced, security, and reduced risks for faster releases.
Reduce errors, save time, and accelerate releases.