spec-driven development
summary
Claims that spec-driven development with AI agents produces runnable output: a demo generates requirements, a mermaid design, and a Python implementation plan that uses BeautifulSoup to scrape a local movie site and runs through initial tasks. Tooling includes Q arrow (q.dev) with thousands on a waitlist, integrations into IDEs like Kiro, open libraries like SpecKit, and MCP pipelines pulling docs from servers such as Context 7 and steering files; specs live in a .kairo folder.
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chapters (9)
- 0:00Spec-driven development intro
- 1:04What spec-driven development is
- 3:54AWS adoption reasons
- 5:16Introducing Q arrow approach
- 7:03Spec-driven without Q arrow
- 9:09How it works in practice
- 13:40Connecting MCP servers
- 16:54Live demo
- 21:49Learn more about Q arrow
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