Jump on the AI development hype train before it burns out
summary
A six-month retrospective on using AI across various development tasks and technologies, reviewing current tools, approaches and practical recommendations. Covers what works versus what doesn't—from impressive demo moments to wasted time on low-value “vibe coding”–style workflows.
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chapters (16)
- 0:00AI development intro
- 2:11Virtual server testing issues
- 4:59AI development challenges
- 7:09Context window limits
- 10:22Cost reduction with AI tools
- 13:40Code editor transitions
- 18:14CLI tools popularity
- 21:23Pre-coding solution search
- 24:09Developer data analysis
- 27:45Task planning with AI
- 31:34Breaking down tasks
- 35:25Test optimization
- 41:21AI context engineering
- 47:20AI agent recommendations
- 51:35Tool selection for tasks
- 53:00AI implementation advice
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