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GitHub-Yale report: most developers want more sustainable AI, pointing to inefficient models and compute as the biggest culprits.
The engineering teams people return to are built for a horizon longer than anyone’s tenure.
Most teams claim GitOps but few actually run it well.
If you could start your engineering career over today, here’s what actually matters now that AI has made most coding skills nearly worthless.
Engineering managers get evaluated on evidence that isn’t the same as their team’s, and most don’t know it.
A growing number of developers are rejecting AI, even when it costs them clients, job offers, and their careers.
AI adoption has a gender gap that’s costing women credibility, recognition, and career advancement.
A hyperscale org cut forecasting from months to weeks by centralizing data and asking for workload intent instead of machine counts.
Three senior engineers avoided the platform the author built, a sign that low adoption was a trust problem fixed with leadership moves, not more code.
Leading a technical discussion means surfacing hidden knowledge and treating strong reactions as worth digging into, not having every answer yourself.