Talk

Virtual

When AI ships faster than humans can review: AI-native CI/CD pipelines

AI coding agents generate thousands of lines daily, but human reviewers can't keep pace. This talk introduces AI-native CI/CD pipelines with intelligent code review, security analysis, and test generation in the deployment workflow.

CEST

Andrew Espira addresses an emerging crisis in software delivery: AI coding agents now generate code faster than humans can review it. Teams shipping 10,000+ lines daily face an impossible choice: slow down releases or skip thorough review.

He presents AI-native CI/CD pipelines that embed intelligent analysis at every stage of deployment.

Key takeaways:
• Why traditional code review breaks down at AI-generation scale
• Architecture for integrating LLMs into CI/CD for contextual code analysis
• Implementing security scanning that reasons about vulnerabilities, not just patterns
• Auto-generating tests for AI-written code to catch edge cases humans miss
• Building feedback loops so pipelines learn from your codebase

Attendees leave with practical patterns to implement AI-assisted quality gates without sacrificing velocity.

Virtual

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