AI is Eating the Developer Career! Wait, what? Maybe it's the other way around?
summary
Argues that an experienced developer plus AI becomes a force multiplier (2x–5x), showing a live demo that uses ChatGPT/GPT‑4 and GitHub Copilot inside an IDE to generate end‑to‑end tests for a FHIR Bundle, auto‑creating Go structs, pagination checks and link validations; delivers a real working test that passes against the API, cites a 6,000‑line codebase rebuilt in 44–45 days with tests “almost 100% AI”, and warns about hallucinations and missing enterprise constraints.
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chapters (6)
- 0:00Introduction and context
- 3:55The impact of AI on work
- 12:28Developers and AI adoption
- 23:06AI for growth and feedback
- 34:13Practical AI testing demo
- 53:23Knowledge management and wrap
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