1 min lesson
Know the honest limits
Walk through the important items in "Know the honest limits" and give the practical point of each.
Step 1 of 2
Know the honest limitsthis is where trust is won or lost
- Hallucination. Models can produce confident, wrong code. The fix is review, not blind acceptance.
- Review burden. AI shifts effort from writing to reviewing. That is a real and worthwhile trade, but it is a trade, not free output.
- Human-in-the-loop is the design, not a weakness. The developer stays the author of record and the diff is approved before it lands.
- It degrades on the unfamiliar. Sparse context, obscure internal frameworks or a goal stated vaguely all produce worse results.
Watch out
Overpromising autonomy is the fastest way to lose an engineering room. The moment you say "it just writes the code for you," the skeptical senior shuts down and your champion looks naive for inviting you.
Frame it as acceleration with a human approval gate. That is both more honest and more sellable.