# Team Bugpoint

- **Event:** [AIE Code Agents Hackathon](https://cerebralvalley.ai/e/aie-code-agents-nyc)
- **When:** Nov 22 at 9:00 AM – Nov 23 at 5:00 PM (EST)
- **Where:** The Malin Flatiron, New York, NY
- **Placement:** 3rd Place
- **Team:** [Scott Williams](https://cerebralvalley.ai/u/smwilliams), [Emre Kurtoglu](https://cerebralvalley.ai/u/ecto), [Daniel Kumlin](https://cerebralvalley.ai/u/daniellkumlin)
- **GitHub:** https://github.com/RestartDK/llm-debugger
- **Demo video:** https://screen.studio/share/Ifjg1Q3v
- **Gallery:** https://cerebralvalley.ai/e/aie-code-agents-nyc/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/aie-code-agents-nyc/hackathon/gallery/21

BugPoint is an LLM-native debugging layer that shows AI how code actually executed instead of drowning it in logs and it integrates with your workflow. It uses program analysis with runtime instrumentation to give precise, structured visibility into real execution paths. Key capabilities include:
Control-flow graphs, clear, abstract maps of program logic so agents understand structure, not just crash point
Runtime traces, capture intermediate state, variable values, and basic-block paths to show where execution drifted from intent
Semantic failure detection, pinpoints the exact logic break, replacing guesswork with actionable insight
Live visualization, real-time views of evolving execution flow with failure nodes highlighted instantly
MCP integration, lets Cursor, Claude Code, Windsurf, Zed, and other agentic tools invoke the debugger natively
Minimal failure slices, compress megabytes of logs into clean, structured, LLM-ready summaries that shrink context and boost fix accuracy

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Markdown version of https://cerebralvalley.ai/e/aie-code-agents-nyc/hackathon/gallery/21. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt