Why AI Fills Gaps but Cannot Invent Routes
The model has a narrow lane: fill named gaps, never create routes.
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ai
What Is AI Code Review?
AI code review turns a diff into prioritized, evidence-backed findings without replacing your judgment.
Read articleWhat AI Code Review Cannot Catch
A review has real blind spots; here is what to verify by other means.
Read articleThe Evidence Behind an AI Review Verdict
The verdict is computed from evidence, not from the model's opinion.
Read articleStatic vs Dynamic Evidence in Code Review
Static and dynamic evidence answer different questions; use both and know the gap.
Read articleReviewing a PR with Git Diff and Context
A diff is only the start; the surrounding context is what makes a review reliable.
Read articleHow to Judge an AI Code Review Finding
A finding is only as good as the evidence behind it; here is how to weigh one.
Read articleHandling False Positives in AI Code Review
False positives are expected; here is how to confirm and dismiss them cleanly.
Read articleExporting a Review Task Package for an Agent
A task package hands an agent the context it needs without handing it trust.
Read articleAI Review vs Human Review: Where Each Wins
AI and human reviewers win on different tasks; the best flow uses both.
Read articleWhy Your Agent Awaits Inside a Loop, and When to Parallelize
Independent calls inside an awaited loop add latency in a straight line; here is when to fix it and when to leave it.
Read articleWhy an Agent Leaves a Feature Flag Turned On
A rollout flag has an expiration date, not a permanent home.
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