Local-first agent debugger with replay, failure memory, smart highlights, and drift detection.

MCP server for rr reverse debugging — enables AI assistants to record, replay, and inspect program executions via GDB/MI

Claude Code skill + CLI that lets an AI agent drive Rider's MCP debugger to debug a running Unity Editor at runtime, no session restart needed.

Debug and analyze RAG pipelines with trace capture, grounding checks, diffing, reports, and CLI tooling.

AI-guided low-fidelity audits for physical simulation results

🔬 Comprehensive Multi-Model Analysis of AI-Driven Debugging Prompts | 13 AI Models Evaluated | Cross-Tier Evaluation Capability Discovered | MIT Licensed Academic Research | v0.1.0

Production-ready full-stack AI debugging platform with FastAPI, React, semantic search, and authenticated analysis history.

Toolkit for systematically probing, classifying, and debugging failure modes in LLM and RAG systems — reasoning errors, hallucination, and API-level behaviour.

QA Continuity AI — a private, on-premise platform that turns scattered project knowledge (rules, flows, bugs, tests, CI) into test plans, Playwright automation, and searchable QA memory. 100% local LLMs via Ollama + HuggingFace, zero API cost.

AI-powered debugging assistant — upload a codebase + error logs, get root cause analysis and fix suggestions

A machine learning debugging tool that analyzes prediction failures, detects overfitting, imbalance and data leakage, and provides improvement suggestions.

Decision-level observability for LLM pipelines, making system behavior explainable even when no outputs exist.