Learn about AI-powered code review, best practices, and tips for using AI Diff Review in IntelliJ IDEA.
Learn how AI Diff Review's VCS Log integration helps you understand legacy code by analyzing any past commit. Get instant insights into historical changes and make informed decisions about old codebases.
Read MoreLearn how AI Diff Review's context-aware analysis and intelligent filtering reduce false positives compared to traditional static analysis tools. Get accurate, actionable feedback without alert fatigue.
Read MoreLearn when and how to use Think Harder mode in AI Diff Review. Understand when to use advanced models for deeper analysis and when standard mode is sufficient.
Read MoreLearn how to control the scope of AI analysis with STRICT, NEARBY, and RELAXED modes. Understand when to use each mode and how they affect commit gate scoring.
Read MoreLearn how AI Diff Review automatically splits large commits into batches for analysis. Understand the relatedness-first strategy and how it keeps related files together.
Read MoreLearn how to interpret AI Diff Review's structured findings. Understand the different categories, severity levels, and how to use insights to improve your code.
Read MoreLearn how to use AI Diff Review to analyze any commit from your VCS Log. Understand what changed, why it changed, and identify potential issues in historical commits.
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