Here's the technical challenge facing engineering teams today: how do you ship features faster with AI agents without constantly fixing broken builds, schema drift, and silent regression bugs?

AI agents now generate, refactor, and consume APIs autonomously at a pace traditional PR reviews and post-commit CI checks were never designed to handle. The result: breaking changes slip past unit tests, API contract compliance drifts, and critical edge cases open up in parts of your codebase your current test suites don't even inspect.

Conventional CI/CD pipelines have major blind spots when code isn't authored by a human. Eliminating them requires shifting API testing and contract enforcement directly into the inner loop: automated guardrails that catch schema violations and policy failures the instant code is generated, not after a pipeline fails or main breaks.

Join Dominick Crosbie and John Monahan, Solution Engineers, as they break down how to implement AI-native governance that runs in real time alongside your agents.

Who should attend:

• Software, Platform, and API Engineers using AI coding assistants or agents to generate or refactor code


• DevOps and QA Engineers building automated quality gates into CI/CD pipelines for agent-driven development


• Tech Leads and Systems Architects looking to scale agentic workflows without accumulating massive technical debt


• Engineering Leads who need continuous, real-time testing to keep pace with AI velocity

What you'll take away:

• Where standard CI/CD pipelines and static analysis tools fail on agent-generated code


• How to catch breaking schema changes, contract drift, and security risks before code hits your repository


• Practical strategies to automate real-time API contract testing without slowing down your local dev loop