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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
  • 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
    • Regression Triage Agent
    • Lint-and-Fix Loops
    • Guardrails and Human in the Loop
    • Evaluating and Operating Agents
      • Task Success Rate on a Held-Out Set
      • Cost and Latency per Task
      • Regression Suites for Agent Changes
      • Drift, Incident Review, and Shutoff Rules
  • Interview and Judgment10
  • AI Skills: Full Course Index
  • Working with AI Glossary
  • Working with AI Cheatsheet
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‹Evaluating and Operating Agents
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Agentic Workflows for Chip Teams
  4. Evaluating and Operating Agents
  5. Regression Suites for Agent Changes

Reference: Agentic Workflows for Chip Teams · Beginner to Intermediate

Regression Suites for Agent Changes

Regression suites that catch agent breakage when prompts, tools, or permissions change.

On this page

    A suite for the agent itself

    The agent needs its own regression suite, separate from the chip regression it operates. It pins agent behavior across prompt, tool, and permission changes.

    Each case fixes the input, the allowed tools, and the expected outcome. The suite in the table below uses 60 pinned triage cases.

    Area

    Cases

    Example expectation

    Triage verdicts

    25

    Culprit test named, confirmed by rerun.

    Lint fixes

    20

    Fix applies, full lint clean, no new warnings.

    Refusals and escalation

    15

    Secrets in logs trigger refusal plus escalation.

    Running the suite on every change

    Run the full suite before and after each change to prompts, tools, models, or permissions. Record both versions with the result so runs stay comparable.

    Small prompt edits can move several cases at once. The suite exists because case-by-case inspection by hand misses those moves.

    Reading the result

    Compare case by case, not just totals. The calc block below works an EXAMPLE change from 48 to 51 of 60.

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    suite: n = 60 pinned cases
    before: 48 / 60 = 0.80; after: 51 / 60 = 0.85
    previously passing now wrong: 2 -> suite gate trips (gate allows 0)
    newly passing: 51 - 48 + 2 = 5
    net gain +3 hides 2 regressions: totals alone would pass, the gate does not

    The program below recomputes the suite comparison from EXAMPLE pass lists. It uses plain lists, with no model involved.

    example.py
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    import sys
    
    before = [True] * 48 + [False] * 12
    after = [True] * 46 + [False] * 2 + [True] * 5 + [False] * 7
    
    passed_before = sum(1 for b in before if b)
    passed_after = sum(1 for a in after if a)
    newly_wrong = sum(1 for b, a in zip(before, after) if b and not a)
    newly_fixed = sum(1 for b, a in zip(before, after) if not b and a)
    gate_trips = newly_wrong > 0
    
    if passed_before != 48:
        print("FAIL: before count arithmetic off")
        sys.exit(1)
    if passed_after != 51:
        print("FAIL: after count arithmetic off")
        sys.exit(1)
    if newly_wrong != 2:
        print("FAIL: regression count arithmetic off")
        sys.exit(1)
    if newly_fixed != 5:
        print("FAIL: fix count arithmetic off")
        sys.exit(1)
    if not gate_trips:
        print("FAIL: gate should trip")
        sys.exit(1)
    print("PASS: suite moves 48 to 51 of 60 with 5 new passes and 2 regressions flagged")

    Common mistakes

    Common pitfall

    Comparing only totals of 48 and 51 approves a change that broke 2 working cases. Gate on zero previously-passing cases newly wrong, then celebrate the net gain.

    Interview

    Likely probes: what the suite pins, and how to read a totals-up but broken change.

    • The suite pins inputs, allowed tools, and expected outcomes across 60 cases.

    • 51 minus 48 plus 2 gives 5 newly passing cases beside 2 regressions.

    • The gate trips on any previously-passing case newly wrong.

    Check yourself A prompt change moves the suite from 48 to 51 of 60, with 2 previously-passing cases now wrong. How many cases were newly fixed?

    5. Newly fixed equals 51 minus 48 plus the 2 that broke.

    Check yourself Totals improved, yet the suite gate trips. Why is the gate right?

    Totals hide direction. Two working cases broke, so the change regressed behavior the team already relied on.

    Related topics

    • Drift and shutoff

    • Guardrails

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    See also

    • Task Success Rate on a Held-Out Set