The Spec is the Source of Truth
About this session
AI agents can generate an entire application framework in seconds—but how do you prove it actually built what you intended? If you feed an AI a loose prompt, you get loose code. The secret to controlling autonomous AI agents isn’t better prompt engineering; it’s anchoring them to Specification-Driven Development (SDD). In this session, we will explore how AI completely redefines "shifting left" by automating the Test-Driven Development loop directly from structured requirements. Instead of writing boilerplate code, modern QA engineers use LLMs to ingest natural language, OpenAPI, or markdown specifications and instantly output exhaustive, production-grade test suites before production code even exists. We will walk through the architecture of a Spec-to-Test execution pipeline, looking at how AI agents can systematically uncover edge cases, mock downstream dependencies, and establish rigid quality boundaries.
Speaker
Key takeaways
- The Spec-to-Test Pipeline Architecture: A structural blueprint for feeding system specifications into an LLM context engine to programmatically emit complete test configurations.
- The Adversarial Edge-Case Engine: Practical techniques for instructing AI models to aggressively hunt for missing boundaries, hidden assumptions, and structural gaps in your initial specifications.
- The New Role of the SDET: A definitive roadmap for how quality professionals transition from test case authors to Intent Editors—curating, verifying, and anchoring the automated testing loop.