debugging

A native C++/SDL3 desktop IDE built to be driven by LLM agents, with editor, git, merge, terminal, search, and full DAP debugging workflows.

A transparent MCP proxy and terminal UI for watching real client-to-server tool calls, inspecting frames, replaying captured calls, and debugging live JSON-RPC traffic.

Mirrors turns production traces into an isolated, runnable copy of an AI agent’s environment so teams can replay workflows, reproduce bugs, and test changes safely before shipping.

A VS Code AI sidebar for focused coding help, with voice input, file and selection chat, Git and debugger context, and support for OpenAI-compatible, local, and budget models.

Hydron is a hardware-native AI coding assistant for embedded engineers. It offers spec-cited code generation, datasheet-based answers, and debugging workflows tied to real hardware, with support for VS Code and CLI use.

An open-source tool that watches Playwright failures, inspects the live page, and opens a GitHub PR with a proposed fix.

Local-first record, inspect, and replay tool for debugging AI agents. Orchid captures LLM calls and tool traffic through a proxy, exposes traces in a web UI and MCP tools, and supports offline replay for deterministic testing.

Steel’s Agent Traces turns recorded browser sessions into a readable, frame-synced timeline with inline details, markdown export, and API access for AI agent workflows.

A CLI guard for MCP stdio servers that checks for stdout pollution, handshake failures, invalid JSON-RPC frames, and startup/runtime issues before clients hit them.

Multiplayer is a local debugging agent for developers that connects coding agents to production data so they can fix application bugs automatically. The site highlights runtime debugging, issue deduplication, and integrations with tools like Claude Code, Codex, and Copilot.

Chrome extension that brings AI coding help directly into the browser for debugging, code explanations, security reviews, and solution generation.

Local-first CLI that records a debugging session and turns it into an evidence-backed Markdown report for PRs, handoffs, and incident notes. It captures commands, notes, exit codes, and git context, then generates a timeline and red-to-green summary from the recorded evidence.

A Superconductor blog post showing how background coding agents were used to reproduce, diagnose, and fix a Rails memory leak using derailed_benchmarks, with a reusable Agent Skill workflow included.