~/talk

Answering Developer Questions with Annotated Agent-Discovered Program Traces

Talkat UIST 2025 · 2025-09-28..10-01· [developer-experience, ai-assisted-development]
name:Litao Yan
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Trailblazer is a system that uses an agent-guided exploration combining static analysis and IDE operations like go-to-definition and find-all-references to iteratively trace program flow, then emits an answer digest with replayable annotated traces that step through the actual path and explain each jump. A lab study with 20 participants shows significantly faster task completion, lower reported mental demand, and quicker solutions on Parsons ordering tasks, demonstrating the traces improve answerability and flow familiarity.

AI-written summary · about

  1. 0:00Introduction and motivation
  2. 1:10Limitations of current methods
  3. 2:55Introducing Trailblazer tool
  4. 4:19How annotated traces work
  5. 5:45Study design and findings
  6. 8:16Summary and future directions
  7. 8:57Q&A session
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