Zero to Shipped in 30 mins with AI Coding Assistants
summary
Starts from a blank VS Code workspace and uses Amazon Q and Q CLI (also demos with zed) to scaffold, generate, test, and iterate code for a fact‑checking app in about 30 minutes; the agent produces Flask code, a requirements list, a Dockerfile and a containerized Unicorn run with Postgres, then fails a few times and requires human review and fixes for auth and init bugs. Security scan surfaces issues that the assistant suggests fixes for, some of which need manual vetting.
AI-written summary · about
chapters (11)
- 0:00AI coding assistants intro
- 1:28Why devs struggle with AI tools
- 3:36Project context setup
- 8:58AI task breakdown & code
- 14:20Effective prompt principles
- 22:58Verify AI-generated code
- 29:10Vibe coding to structured dev
- 31:01Security scan AI code
- 35:56Prep code for production
- 38:50Resources & closing
- 40:13Q&A
related talks
45mZero to Shipped in 30 mins with AI Coding Assistants
46mThe amplified developer: zero to shipped in 30 mins with AI Coding Ass
28mGenerative AI-powered app development
46mAccelerate DevOps with generative AI and Amazon CodeCatalyst
25mTeam up without the friction with Amazon CodeCatalyst
42mAmazon Q: Your new assistant and guide for building with AWS
19mSupercharge your productivity across the SDLC with generative AI | AWS Developer Day 2025
02h 45mBuild without limits - lessons learned from using generative AI dev tools
