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2026 September 10-11 | Tokyo, Japan
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.
Thursday September 10, 2026 14:05 - 14:30 JST
Debugging eats 42% of developer time — $300B lost globally every year. On an average, fixing an issue takes 15 days. Debug Assist does it in 30 minutes — issue alert to validated, reviewable PR.

Most AI debugging tools stop at root cause analysis. Debug Assist goes much further: it writes a fix, validates it in a loop till correct, and creates the PR. Example, It caught a crash at 5% rollout, landed the fix the same day — preventing it from reaching thousands of users. Built on LangGraph with 11 MCP servers, 5 plugins, and parallel subagents: Sourcegraph for code search, crash analytics, Jira, feature flags, Jaeger, and logging — all one protocol.

Debug Assist even works on user-reported bugs which have minimal information attached. A user complained of battery drain, and Debug Assist traced it to a hot-looping code path, producing an RCA from behavioral evidence alone.
Domain knowledge lives in markdown skill files in a plugin marketplace — any developer can contribute fix patterns with no code, no redeployment.

We'll share how we built this from ground up, scaled to 5,000 RCAs/month across 6 languages, the challenges we hit, and how we improved the acceptance rate from 5% to 30%
Speakers
avatar for Kriti Dangi

Kriti Dangi

Senior Software Engineer, Uber, Uber
Senior software engineer on the App Quality and Production Observability at Uber. Spent 3 years working on crash analytics platform, before designing and deploying Debug Assist. I love to dance, swim and travel in my free time. You can often find me chatting away with friends!
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Thursday September 10, 2026 14:05 - 14:30 JST
Hall 1F
  MCPCon
  • Audience Level Any

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