Software Engineering + AI = ? | The Future of Development
summary
Industry adoption is rapid and concrete: internal data shows 40–50% of Cursor’s code authored by Cursor, engineers commonly run 4–8 parallel agents, and more than 90% of the Codex app is generated by Codex; Claude/Cloud Code produces full pull requests and an internal tool was reportedly built 100% by an AI in 10 days. Traditional firms and indie devs report daily AI use exceeding Big Tech, Google prepares infrastructure for ~10× more lines of code, and agents loop with compilers and tests for real verification.
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chapters (12)
- 0:00Introduction
- 1:27AI Fear, Hype, and Conflicting Signals
- 3:51What AI Dev Tool Startup Engineers Are Doing
- 6:58How Big Tech Uses AI Coding Tools Internally
- 11:58AI Adoption in Traditional Firms and Indie Devs
- 17:43The “Winter Break” Shift in AI Coding
- 20:29Big Questions for Teams and Engineering Leaders
- 24:41Why 2026 May Be the Year AI Writes Most Code
- 27:40What This Means for Software Engineering
- 30:52Has the Industry Seen Disruption Like This?
- 32:25Skills Becoming Less and More Valuable
- 35:07Conclusion: Adapting Fast and Building the Future
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