Rethinking growing engineers in the age of AI
summary
Claim: entry-level hiring falls sharply — a 73.4% drop in starter hiring — as AI takes on traditional junior work, and other fields report real harms from hallucinations in legal records. The practical response is explicit: teach foundations and code review earlier in career, train engineers in prompt use and source-checking, and redesign tasks so novices get deliberate practice with immediate feedback. Examples: associates already using AI as an endlessly patient mentor and doing larger stories than before.
AI-written summary · about
chapters (19)
- 0:00Introduction
- 1:18AI is changing things
- 5:10Associate engineers
- 5:33Traditional associate work
- 6:33Deliberate practice
- 7:44Three models of deliberate practice
- 8:44Unconscious competence
- 10:12Most expert engineers suck
- 11:08Lead Dev
- 11:36Osmosis
- 11:48Foundations
- 12:42AI coding
- 12:54What we need to do differently
- 13:45Additional skills needed
- 14:08Critical thinking
- 17:52What advice do we need
- 18:11Advice for seniors
- 21:24Learn to surf
- 22:04Thank you
related talks
41mThe Changing Face of Engineering What Teams Need Now 002
20mHow to Strategize Talent Hiring and Upskilling in the Age of AI
27mEngineering in the Age of AI: Making AI Work for Us, Not Replace Us
34mThriving in an AI era 🔮
37mHow AI & automation are changing software engineering
15mThe AI Shift: Rethinking the Developer’s Role in a Machine-Driven World
30mWill AI Steal Your IT Job? Find Out How to Stay Ahead!
29mBeyond Code: The Role of Developers in the Age of AI
