Date & time
17:00
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AI-coding agents produce changes faster than developers can read them, but engineers still own responsibility for the code they ship.
Drawing on the LeadDev AI Code Review Report 2026, this panel explores how software dev teams validate AI code they haven’t read, preserve understanding, and decide where human judgment belongs across the agentic SDLC.
We’ll look at how teams check changes against developer intent and codebase context, direct engineers’ attention to the most critical changes, and explain how those changes affect the wider system.
We’ll also discuss how security practices must adapt across the codebase, before and after deployment, as agents take on more development work.
Key takeaways:
- Validate AI code changes against developer intent and codebase context
- Prioritize human attention on the most critical code changes
- Understand how AI-generated code impacts the rest of the codebase
- Detect and address security risks across the codebase, before and after deployment
