I liked some of the manager-focused pieces today, as that’s an under-served audience right now. There’s plenty of content for how individuals use AI, but much less about the impact and role of managers.
[blog] Ask an AI expert: What exactly is the full stack? The central Google team asked me some questions about full-stack AI. Here’s the result.
[article] Uber’s journey of measuring AI impact on developer productivity. I didn’t listen to the episode, but the takeaways published here are solid.
[blog] Five essential testing patterns for AI agent development. Great post from Karl. It’s easy to get AI to generate shallow tests for your codebase. Are you asking for and seeking a more comprehensive testing strategy?
[article] Where is the flattening of engineering organizations actually happening? Some of these results may surprise you. Reorganization is much more common than layoffs, and the top is flattening faster than other layers.
[article] AI Adoption Is Overloading Your Middle Managers. We need *more* investment in middle management because of the AI transition?
[blog] Paging Charity! How can engineering leaders avoid becoming Bond villains? The number one job of every manager/leader is to win at business. Not build great teams, not coach the next generation. Those things matter a ton. But you won’t get the opportunity to do those things if the team doesn’t matter.
[article] AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds. When I see headlines like this, it’s an indicator that these teams haven’t yet done the required changes to teams and workflows.
[blog] Locally test your Cloud Run service code that writes to Google Sheets. You can’t test everything locally when dealing with cloud services, but many things you can.
[article] CEOs, CIOs clash over AI’s value. Oooh, enterprise drama. Each side probably expect different outcomes, or at least on different timelines.
[blog] Antigravtiy CLI Plugin for Claude Code. Mix models, mix harnesses, whatever. You don’t need to use one stack for everything, and it may be prohibitive to do so!
[blog] The Problem is Prompt Debt. Less prose, more firm direction. And fewer hand-written prompts, more generated.
[article] The AI era requires a different kind of experimentation. Food for thought. Have you thrown our your own playbook and assumptions? Might be time.
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