The amplified developer: zero to shipped in 30 mins with AI Coding Ass
summary
Live coding builds a fact‑checking app from empty directory to a running AWS URL in about 30 minutes using an IDE fork called Kro, a CLI agent, Finch containers, Terraform and an MCP security pipeline; workflow includes small steering/rules files for preferences, image-to-SQL data models, hooks that add SPDX headers, prompt refinement into EARS, autogenerated implementation plans and context engineering to work with existing repos, plus spec-driven development that emits property-based testing to validate generated code before deploy.
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chapters (12)
- 0:00Introduction and live coding setup
- 3:00AI coding tools and developer preferences (rules & context)
- 7:00Context engineering and using data models & diagrams
- 11:00Prompt optimization and structured requirements (EARS)
- 15:00From prompt to implementation plan and code generation
- 19:00Working with existing codebases using AI context
- 23:00Checkpoints, undo strategies, and developer control
- 26:00Running and validating the generated application
- 29:00Security scanning with AI and automated tools
- 32:00AI-powered DevOps: containers, AWS, and deployment
- 36:00Spec-driven development and property-based testing
- 40:00Shipping to production and key takeaways
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