AI Production Ready: Implementing the Product

From prototype to deployment

The final step is execution — turning an AI-planned architecture into a running system.

In this session, you’ll learn how to move into the implementation phase by taking an AI-planned architecture and deploying it into a production-ready environment.

You’ll explore scalability, security, and the realities of moving from a “hackathon vibe” to enterprise-grade code.

What we’ll cover in detail:

• How to break down a complex technical plan into small, testable, and executable units of work for AI coding agents
• Strategies for steering AI agents to implement code that strictly adheres to the established spec and enterprise standards, ensuring higher quality and fewer regressions
• Best practices for maintaining and evolving your specifications alongside your code to prevent technical debt and ensure long-term system maintainability

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