Ask Me Anything - AI – Oliver Brand
summary
Collecting Cars uses Gemini for content, GitHub Copilot and Cursor with Claude/Gemini models for development, and reports 30% of our live code originates from AI while one greenfield service ends up 70% written by AI; a PHP 7.3→8.3 migration is completed by a single engineer in four weeks instead of a four‑person six‑week effort and ships with no bugs in production. The team treats AI as augmentation, keeps engineers accountable, and trains chatbots on company data.
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chapters (21)
- 0:00AI AMA introduction
- 1:06AI as career differentiator
- 2:12Copilot to productivity boost
- 3:34Greenfield service at 70%
- 4:56PHP upgrade in 4 weeks
- 5:40AI creative missteps lessons
- 6:44AI augments engineers
- 7:46Experience compounds AI value
- 8:29AI for junior developers
- 9:10No AI blame for bugs
- 9:52AI needs team adoption
- 11:59Q&A AI complacency concerns
- 13:01AI benefits vs environmental impact
- 14:24Non-engineers build apps with AI?
- 15:27Agentic AI replacement timeline
- 16:53Customer AI hallucination risks
- 19:00AI writing tests marking homework
- 20:23Future engineers experience gap
- 21:49AI short-term vs long-term risks
- 23:12Mastering AI prompts
- 25:19AI regulation
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