Join us for the second installment of the Spec-Driven AI Development livestream. In the first episode, we established why spec-driven development (SDD) is essential for avoiding misalignment and “vibe coding” failures in AI-assisted software development. In Episode 2, we’ll expand on this topic and continue our move from theory to practice.
This session demonstrates what spec-driven development looks like in real programming, applied end-to-end in a medium complexity open-source project. The livestream walks through the complete lifecycle of adding a new feature: requirements and specifications, planning and task decomposition, implementation, tests, and validation. Along the way, we'll discuss how it works, examine the decisions that were made, and get feedback from the audience.
This episode is for engineering leaders who are over the hype, concerned about long-term maintainability, and looking for disciplined ways to turn AI acceleration into sustainable engineering productivity.