Faster PRs, Weaker Instincts: The Judgment Problem in AI-Assisted Engineering

Short summary

An engineering leader shares how AI-assisted coding boosted PR throughput but masked a deeper problem: engineers skipped the struggle that builds judgment. Tests passed and code looked clean, but subtle failure modes went unexamined because the AI generated solutions before critical questions were asked. The team adapted by repurposing code review as a thinking exercise rather than a gate, requiring engineers to articulate assumptions, failure modes, and deliberate omissions.

• •AI coding tools increase output but can skip the friction that builds engineering judgment
• •Reviewers get overloaded by PR volume, leading to shallow approvals of plausible-looking code
• •Solution: reframe code review to surface assumptions and failure modes, not just check correctness

Generated with AI, which can make mistakes.