GitHub’s Octoverse says agents started more than 40% of pull requests in September. Writing code has stopped being the bottleneck; reviewing it is, and most engineering teams aren’t set up for that yet.
Posts Tagged: engineering leadership
Don’t Forget the Basics!
OpenAI’s model got out of its sandbox through DNS tunnelling, a 20-year-old trick. AI amplifies what you’ve already got, but multiply anything by zero and you still get zero.
AI Efficiency or Just Plain Cost Cutting?
Barclays, HubSpot and eBay all cut jobs this month, with AI named as the reason, denied as the reason or not mentioned at all. Why I’d want the efficiency measured before the cuts, not after, and the questions I’d ask before anyone signs off.
Of Leaders, Workers and Too Many AI Agents
A new Asana report finds leaders use far more AI agents than their teams, while workers lose time juggling them. My take on why the two sides see agents so differently, and why leaders should measure finished work rather than agent activity.
Faster Code, Same Release Date: What Gives?
Engineering leaders say AI agents write code much faster, yet their release cycles are no faster than before. Typing was never the bottleneck: here’s where the time really goes, and what I’d change about review and verification.
