Plan, Specify, and Implement
summary
An open-source toolkit called SpecKit packages prompts, scripts and a small CLI to turn product scenarios into executable specs, plans and tasks, integrating with GitHub Copilot and other agents via the specify CLI. Demo shows bootstrapping an existing repo, generating a podcast site spec, technical plan (Hugo + Tailwind example), data models, and broken-down tasks, with automated branch commits and a question-driven clarify mode; repo exceeds 53.6k stars and the generated workflow runs end-to-end in the demo.
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chapters (18)
- 0:00Intro: James and Dan Kick Off with Spec-Driven Development
- 0:27Why Planning Matters: From Vibe Coding to Structured Specs
- 1:41What Is Spec-Driven Development and Why It Scales
- 3:52Context Is King: Why Specs Improve AI-Generated Code
- 5:33Specs vs. Custom Instructions: How They Work Together
- 6:41Inside SpecKit: Prompts, Scripts, and GitHub Integration
- 8:34Demo: Setting Up SpecKit with Specify CLI
- 12:03Adding SpecKit to Existing Projects
- 14:03Creating a Constitution: Non-Negotiable Project Principles
- 18:01Building Functional Specs and Clarifying Requirements
- 21:02Clarify Mode: AI Questions You Didn’t Think to Ask
- 25:33Technical Plan Stage: Adding Tech Details and Dependencies
- 27:01Choosing the Right AI Model for Spec Workflows
- 28:53Branching, Variations, and Git Workflows for Specs
- 31:02Breaking Down Tasks and Automating Implementation
- 32:01Reviewing Generated Artifacts: Plan, Data Models, and Research
- 34:54Scaling SpecKit for New Features and Existing Apps
- 35:17Wrap-Up: Why SpecKit Changes How We Build Software
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01h 02mBacklog.md Hands On
