Spec-Driven Development: designing deterministic AI systems

This course contains the use of artificial intelligence.This course teaches you how to move from ad-hoc AI prompting to a structured, production-grade engineering workflow.Instead of treating AI as a code generator, you will learn how to design systems where specifications are the source of truth, architecture is derived from intent, and validation is built into every phase of development.Spec-Driven Development (SDD) replaces improvisation with a repeatable pipeline:Specify -> Plan -> Tasks -> Implement -> VerifyBy the end of this course, you will know how to govern AI-assisted development in a way that is auditable, scalable, and aligned with real-world production standards.What this course contains:Module 1 - Foundations of Spec-Driven DevelopmentYou will understand why vibe-coding works for prototypes but collapses under production constraints.You will learn the power inversion where code serves the specification.You will explore the evolution from SDLC, PRDs, TDD, and BDD to SDD.You will understand the core principles of living documents, executable intent, ambiguity management, and validation gates.Module 2 - The core SDD workflow:You will master the full lifecycle:Specify - define the north star and measurable success criteria without mixing in implementation details.Plan - generate architecture that fits your existing codebase and respects your project constitution.Tasks - break complex features into atomic, reviewable units.Implement - execute tasks with human-in-the-loop validation and continuous drift detection.Module 3 - Project context and governance:You will design a Project Constitution that defines your architectural DNA.You will create structured Agent Instruction files to control AI behavior.You will implement the three-tier boundary model: Always do, Ask first, Never do.You