Adapting to the Future of Work in Tech
summary
Argues that auto-regressive LLMs cannot be made fully factual and currently perform only a fraction of development work, cites GitHub’s developer-driven AI-assisted workflow and long use of co-pilot as practical tooling, estimates a 5–10 year horizon for Software 2.0 adoption, reports agents and automation remain limited, and urges ramping fundamentals (math, model-building, distributed systems) while treating change as gradual and regulatable rather than an immediate job-killer.
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chapters (6)
- 0:00Future of work in tech
- 2:16Past shaping software engineering
- 9:25Modern software engineering
- 13:13LLM limits in coding
- 16:26AI-assisted development future
- 21:24Creating versus discovering tech future
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