In the fast-paced world of software development, balancing rapid delivery with high code quality is a constant challenge. Traditional code reviews, while essential, can become bottlenecks, leading to delays and missed issues. AI-powered review agents are changing that dynamic by accelerating reviews without sacrificing rigor.

This session explores how AI agents can augment code reviews by:
• Automating routine tasks: Generating pull request summaries, highlighting relevant changes, and guiding reviewers through complex diffs to reduce manual effort and improve consistency.
• Prioritizing what matters most: Using AI to identify and rank potential defects, risks, and regressions so critical issues are addressed first.
• Maintaining intent and compliance: Verifying that code changes align with tickets, requirements, and stated objectives, helping teams stay focused on outcomes.
• Improving team collaboration: Supporting both asynchronous and real-time reviews, enabling effective collaboration across distributed teams.

Attendees will learn how to integrate AI-assisted review agents into existing workflows to shorten review cycles, raise code quality, and reduce developer friction. Whether you are an individual contributor, team lead, or engineering manager, this talk provides practical guidance on modernizing code reviews with AI.