Enables AI agents to capture, replay, inspect, diff, share, and manage executable bug artifacts (.bug files) via the BugProof CLI, supporting 10 tools and structured prompts for debugging workflows.
Enables running code against tests in an isolated sandbox to obtain PASS/FAIL verdicts with signed, offline-checkable certificates, and generating verified code with attached certificates after execution against derived tests.
Enables AI coding assistants to search reproducibly verified bug fixes, compatibility recipes, and code patches, and to submit new solutions for automated sandbox verification.
Local-first MCP and coding-agent reliability harness that captures bounded, sanitized failure evidence and generates deterministic executable regression tests. Capture is opt-in; no API key or hosted service is required.
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.
Enables AI agents to analyze Windows crash dumps by providing structured data on exceptions, threads, modules, and source context, with safe patch, build, and test execution.
