The promise of AI-augmented development is irresistible: describe what you want, and the agent builds it very fast! But in finance, healthcare, transportation, and other high-risk ventures, vague requirements can lead to catastrophic defects. When AI writes both code and tests, who ensures critical edge cases are covered?
Rob Myers explores how "Test-Driven" thinking applies to AI-augmented development. Humans already excel at what AI agents need from us: Agile teams have always known that clear examples and the discussions around them drive quality.
The best dev teams naturally use concrete examples and "what if?" questions to clarify specifications. These human strengths—imagining failure modes, corner cases, real-world complications—become the guardrails that keep AI from hallucinating its way into disaster. Even when AI agents write tests first, domain experts must confirm coverage of critical contingencies through ongoing dialog.
Rob envisions an AI-augmented future where teams are no longer separated by roles but instead use complementary skills and tools, co-creating scenarios and specifications while AI agents code at incredible speeds.
AI-augmented software development isn't about people competing with AI on speed—it's about people leading with the insights only humans can provide. You'll leave with clarity on the essential human role in making AI-augmented development fast and safe!