The AI-Powered Developer
summary
Claim: AI already speeds real developer work, with GitHub Copilot and Azure OpenAI improving IDE and CI tasks while local models run on laptops. Demonstrations show a Mac M2 serving llama 38b for fast completions, smaller 7B/13B models for instant inline suggestions, and a weekend hack that solves a coding test via an LLM. Caveats: data leaving Europe, training opt‑out, copyright/public‑domain questions, and one production outage from a plausibility error using AI‑generated Kafka commands; tools like Warp terminal glue it together.
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chapters (10)
- 0:00AI in software development
- 2:51AI for developers
- 8:12Local AI for development
- 15:13AI models performance
- 24:05AI in the IDE
- 26:13In-IDE AI features
- 31:07AI tools security
- 37:04AI code copyright
- 39:31AI-first workflows
- 41:58Future of AI in coding
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