A Hands-On Gitar AI Code Review Workshop

AI Engineer38m 7s
Killian Carlsen-Phelan and Taylor Luttrell-Williams discussing AI code review.
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    Taylor Luttrell-Williams and Killian Carlsen-Phelan introduce Gitar, Sonar’s AI code reviewCode review examines proposed source changes to assess their correctness, clarity and suitability before or around integration. tool, and walk through a sample ticketing application with three pull requests. The presenters frame the workshop around reviewing code produced at high volume by coding agentsAn AI coding agent is a tool-using AI system that can inspect, modify, and validate software within a repository..

    The first example shows a review finding a ticket-transfer bug outside the changed lines. A second uses repository-specific rulesContext engineering designs how relevant instructions, evidence, state and tool information are assembled for a model's task. to check a business requirement that customer-facing prices include fees.

    The third demonstrates investigating a failed CI testDebugging is the process of finding why software behaved incorrectly and checking that a correction addresses the cause. and enabling automatic fixes and mergingWorkflow automation uses software or AI to complete a connected sequence of routine steps with less manual effort.. These are vendor demonstrations rather than independent proof that an automated reviewer catches every issue; teams remain responsible for their own safeguards and review choices.

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    Video topic coverage

    • Agents & workflows75
    • Coding & tools100
    • Models & learning0
    • Infrastructure & compute0
    • Research & evaluation25
    • Safety & security25
    • Business & productivity25
    • Creative & media0
    • Robotics & perception0
    • Society & policy0

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    Killian Carlsen-Phelan and Taylor Luttrell-Williams discussing AI code review. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 29 October 2026 and duration 38m 7s.

    Sonar presenters demonstrate a code review agent on three pull requests, from business logic checks to optional automated fixes.