The Developer's Roadmap for the wave of AI Powered Applications
summary
Provides a concrete developer roadmap: prioritize communication, spec engineering, and architecture over raw typing speed, learn agents and MCP, and focus on the next two years of practical skills. Shows tooling and limits — used Gemini CLI and a working demo that demo store queries untagged JSON via LLM and function calls to populate a cart — proving function/tool-calling works and that engineers still spot and fix wrong model outputs. Fundamental engineering judgment remains the decisive skill.
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chapters (13)
- 0:00Welcome
- 3:33Developer’s role in AI
- 5:18Code alone isn’t enough
- 7:24New core skills
- 9:57Impact strategy in AI apps
- 12:28What to learn now
- 14:17Prompting and spec engineering
- 15:21Key AI technologies
- 16:23Beyond code generation
- 19:36Beyond human-scale apps
- 21:03Live demo: AI UX
- 24:33You’re the driver
- 25:16Closing
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