Spec-driven development with AI

AI coding tools can generate code fast. But without clear requirements and review points, they can also accelerate familiar maintenance problems: outdated documentation, unclear intent, and code becoming the only source of truth.

Join Simon Martinelli for a practical look at spec-driven development: an AI-assisted workflow where requirements stay central, and AI helps generate and maintain use cases, diagrams, specifications, code, and tests.

You’ll learn how this approach can improve traceability, business alignment, and maintainability while keeping requirements, specs, code, and tests connected.

What you'll learn:

• Move beyond prompt-to-code workflows

• Use requirements as the source of truth

• Keep specs, code, and tests aligned with AI

• Catch domain issues before they become code problems

• Apply the approach to real business applications