Data & AIConference50min
Keeping humans in the loop with AI coding agents
This session explores how to use AI coding agents effectively and safely. It outlines the maturity stages of AI adoption, showing how teams can gain speed without sacrificing maintainability. Attendees will learn practices for adding structure, guardrails, and human oversight to ensure AI-produced code remains high quality and aligned with team goals.
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Gojko AdzicNeuri Consulting LLP
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Wednesday, June 17, 11:15-12:05
Room 3
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AI coding agents are becoming increasingly popular. They can dramatically reduce the time to a working prototype.But without structure, speed quickly turns into long-term maintenance risk. Based on industry research with early adopters, this talk introduces a performance path for AI coding agents. You’ll see the different stages AI adopters move through, what benefits each stage unlocks, and the specific practices that help you and your team progress. Expect to learn how to add guardrails and constraints to automated AI coding agents so they can produce code as good as humans, but significantly faster. You’ll explore patterns and practices for keeping humans in the loop, making key decisions deliberately, and creating effective feedback cycles that keep AI agents on the right path.