Spec-Driven Development for Agentic AI

Turn unpredictable AI coding into reliable, production-ready software!
Keep coding agents aligned with clear specifications.
Reduce wasted tokens, regressions, and buggy code.
Build tested software through an agile SDD workflow.
Spec-Driven Development for Agentic AI teaches a practical, agile approach to working with coding agents, so they stay aligned with your goals instead of drifting from them. Learn how to create clear specifications that guide development, reduce rework and buggy code, validate results through testing, and collaborate effectively with AI coding agents. Through a hands-on React project, you'll learn a lightweight engineering workflow for building high-quality software that can evolve rapidly and reliably as

Requirements

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change. While demonstrations in this course use Claude Code, the same principles can be applied with any AI coding agent or software development stack.
Related Learning
Watch Modern AI Agents: Building Practical Single- and Multi-Agent Systems with MCP and LLMs (Video Course), 2nd Edition by Sinan Ozdemir
Skill Level
Intermediate
Course

Requirements

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Working knowledge of software development concepts and workflows
Basic familiarity with AI coding assistants or prompt-based development
Familiarity with command-line tools and an IDE such as Visual Studio Code
Access to Claude Code is recommended for following the demonstrations
Who Should Take This Course
Software developers using AI-assisted coding tools
Technical leads responsible for development standards and quality
AI and DevOps engineers building agentic workflows
Engineering managers scaling AI-assisted development
Technical stakeholders focused on reliability and governance

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