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Lesson 24 of 25

Master Spec Driven Development (SDD): Stop Vibe Coding & Build Professional AI Projects

About this lesson

In this session of the Agentic AI Course, Abdul Wahab introduces a professional paradigm shift in AI development: Spec Driven Development (SDD). You will learn how to move away from "Vibe Coding"—the habit of coding based on vague ideas and iterative prompting—and instead build software using a clear, documented roadmap that ensures high-quality results and consistency . Key Highlights of This Tutorial: The Problem with Vibe Coding: Why coding without a map leads to broken code, context loss, and "wiring" issues between files . What is SDD? An introduction to Spec Driven Development, where you write technical specifications before the AI writes a single line of code . The Three Levels of SDD: Spec First: Ideal for small, one-time tasks where you write a spec.md, build the project, and then delete the spec . Spec Anchor: Designed for teams and large projects. You maintain both the code and the specifications, ensuring the spec is updated before the code is changed . Spec as Source: An experimental phase where updating the natural language specification automatically regenerates the software code . Creating a Project Constitution: Learn how to build a constitution.md (or use claude.md) to define non-negotiable rules for architecture, tech stacks (like Next.js), and code quality standards that the AI must follow . The 4-Phase Workflow: A breakdown of the professional cycle: Research, Specification, Refinement (Interview), and Implementation . Context Persistence: How SDD solves the issue of AI "forgetting" project details between sessions by providing a permanent reference for the code's reasoning and goals . By the end of this video, you will understand how to act as a project architect, using Markdown to guide your AI agents through complex development tasks with 100% focus and clarity . Homework: Practice creating a spec.md for a small tool or report. Define your Intent, Requirements, Constraints, and Success Criteria, and see how it improves the AI's output .