Enables multi-agent code review with cross-verification of findings against source code, catching hallucinations and improving agent accuracy over time.
Enables AI agents to scan code for security vulnerabilities before execution, supporting Python and JavaScript/TypeScript with deterministic AST-based analysis and optional Solana micropayments.
A multi-agent system that autonomously analyzes code, proves bugs with formal certificates, generates repairs, and validates patches, all over the Model Context Protocol.
Enables comprehensive JavaScript code analysis and debugging using ESLint and custom pattern matching. Identifies syntax errors, potential bugs, code quality issues, and provides actionable fix suggestions for single files or entire projects.
Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.