4.6 — Multi-Instance and Multi-Pass Review
CCAR-F Domain 4 · Task 4.6
What You Need to Know
The Self-Review Limitation
Same-session self-review retains the original reasoning chain and tends to confirm its own decisions. Use an independent instance (fresh session, no prior context) for review.
Multi-Pass Review Architecture
Large reviews suffer from attention dilution in a single pass (uneven depth, missed bugs, contradictory findings).
- Pass 1 – Per-file local analysis: each file gets a focused independent review
- Pass 2 – Cross-file integration: separate pass checks data flow, consistency, contradictions
Larger context windows do not fix attention quality.
Confidence-Based Routing
- High confidence → report directly
- Low confidence → human review
- Calibrate thresholds on labelled validation sets before automated routing
Key Concept: Independent instances for review. Split large reviews into per-file + cross-file passes. Calibrate confidence on labelled sets.
Production Architecture
- Generation (instance A)
- Per-file review (independent instances)
- Integration review (separate instance)
- Confidence routing
- Calibration loop
Exam Traps
- Self-review in the same session
- Single pass for large multi-file reviews
- Switching to a larger context window to fix attention dilution
- Using uncalibrated confidence scores for automated routing
Check your understanding
Practice Scenario
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Sources
- Code Review, Claude Code Docs
- Claude Code GitHub Actions, Claude Code Docs
- How we built our multi-agent research system, Anthropic