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Course contents

  • Getting Started with AI for VLSI Engineers5
  • Just Enough AI: Models and Context15
  • Prompting13
  • Trust and Verification14
  • Using AI for Engineering Work17
    • RTL and Testbench Assistance
    • Debugging with AI
      • Log Slices That Help
      • Ranked Hypotheses with Evidence
      • Summarising and Clustering Logs
      • The Engineer Runs the Experiment
    • Scripts and Automation
    • Data, Privacy and IP
  • Engineering Walkthroughs7
  • Practical Foundations for AI Workflows4
  • Engineering Data5
  • Retrieval-Augmented Generation6
  • Agents and Tool Use18
  • Agent Design8
  • MCP and Skills6
  • Multi-Agent Design6
  • Practical Capstone6
  • Tokens, Cost and Latency12
  • Agentic Workflows for Chip Teams18
  • Interview and Judgment10
  • AI Skills: Full Course Index
  • Working with AI Glossary
  • Working with AI Cheatsheet
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‹Using AI for Engineering Work
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Using AI for Engineering Work
  4. Debugging with AI

Everyday Engineering Assistance · Beginner to Intermediate

Debugging with AI

Debug failing runs with AI: tight log slices, ranked hypotheses, and engineer-owned checks.

  • 4topics
  • 4lessons

An assistant can organize a failure investigation when it receives relevant logs, configuration, requirements, and provenance. Begin with a focused evidence bundle, then expand when a hypothesis depends on earlier events or another component. The first reported error is a starting point, not necessarily the root cause.

Debug loop from failing log to fix.
The debug loop: collect context, compare hypotheses, and check evidence before deciding.

Lesson

What it covers

Log slices that help

First error, context lines, seed and config in one small slice.

Ranked hypotheses with evidence

Guesses ranked with the evidence that would confirm each.

Summarising and clustering logs

Normalised-message clustering with a runnable Python program.

The engineer runs the experiment

Check existing evidence, then choose a discriminating experiment when needed.

Check yourself A regression run fails with pages of log output. What goes to the assistant first?

A slice: the first error with context lines, the test name and seed, and the config. The full log stays local until a wider search is needed.

Interview

Carry one sentence per lesson: preserve failure context, rank guesses with evidence, cluster messages without losing source lines, and choose the next observation that distinguishes the explanations.

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See also

  • RTL and Testbench Assistance
  • Scripts and Automation
  • Data, Privacy and IP