Spec-Driven Development: From Vibe-Coding to AI Engineering
Date: 6 March 2026 | Posted by: AD-TEAM
Published 2/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 39m | Size: 4.55 GB
Spec-Driven Development (SDD), AI-assisted software development, AI coding, Technical product management
What you'll learn
Build a repeatable Spec-driven development workflow (specify - plan - tasks - implement) to ship AI-assisted features without "house of cards" code
Write machine-interpretable requirements using EARS, clear acceptance criteria, and explicit constraints to prevent agent guesswork and drift
Set up project governance for AI agents with a constitution, agent instruction files, and three-tier boundaries (always do, ask first, never do)
Convert specs into atomic, reviewable task lists and run human-in-the-loop verification gates to keep implementation aligned with intent
Apply test-driven specs, verification gates, and property-based testing to prove critical behavior and detect drift early
Requirements
Basic familiarity with software development concepts (APIs, data models, git) is helpful but not required
You don't need to be an expert in any specific language - the course focuses on intent, specs, and process, not one stack
A code editor and a GitHub account are recommended if you want to apply the workflows hands-on
Optional: access to an AI coding tool (Copilot, Cursor, Claude Code, or similar) to practice the agent workflows
Description
This course contains the use of artificial intelligence.
A practical, illustration-rich course that teaches you how to build software with AI agents without creating a fragile "house of cards" codebase.
If you've ever shipped a quick prototype with an AI assistant and then watched it fall apart the moment you tried to scale it, integrate it, or maintain it, this course is for you. Spec-driven development is the discipline that turns AI from a clever code generator into a predictable engineering capability. You'll learn how to make intent the system of record, how to convert that intent into executable plans and tasks, and how to keep AI agents aligned with your architecture, standards, and quality bars.
What You Get
Video explainers: ~3 hours 45 minutes of content with clean illustrations built directly from the lesson content.
Quizzes: Every lesson includes a quiz (8-10 questions) to lock in concepts and apply them immediately.
Who this course is for
Developers (junior to senior) who want a structured, reliable way to build with AI agents instead of ad-hoc prompting, plus technical PMs/tech leads who need a shared workflow for specs, plans, tasks, governance, and measurable delivery outcomes across teams.
RapidGator
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