Daily Reading List – May 29, 2026 (#794)

Today's links look at how to use AI agents without stopping your own growth, how to keep AI-assisted engineers from burning out, and inside Bloomberg's flat eng culture.
Daily Reading List – May 29, 2026 (#794)

Off to Europe today to speak at Google Cloud’s Nordics Summit in Sweden, and then a Cloud event in Paris. Maybe I’ll see some of you there?

[article] The AI efficiency plateau (https://newsletter.getdx.com/p/the-ai-efficiency-plateau). You’ve got to do continued use of these tools before the time savings kick in. But it also looks like gains may not be sustainable. I suspect that’s less about the tools and more about bumping into new bottlenecks in the broader workflow.

[article] AI-assisted engineers are burning out, is this fine? (https://evilmartians.com/chronicles/ai-assisted-engineers-are-burning-out-is-this-fine) There’s a productivity trap with these AI tools. The workload somehow increases, and sometimes it’s self-inflicted. This article has some tips for avoiding AI burnout.

[blog] How I Use Agents Without Stopping My Own Growth (https://spin.atomicobject.com/using-agents-growth/). Good advice. It’s your choice to quit thinking or outsource reviews to AI. Not required!

[blog] 50%+ failure is normal (https://cote.io/2026/05/29/failure-is-normal.html). Half of AI projects in the enterprise will fail. That’s a typical failure rate of most any IT project over the past decades.

[blog] DeepSWE (https://deepswe.datacurve.ai/blog). This is a new “long-horizon software engineering benchmark” to better measure how well LLMs perform on quasi-realistic software tasks.

[blog] Go Modules in Practice: Init, Tidy, Vendor, and Publishing Packages (https://dev.to/amirsefati/go-modules-in-practice-init-tidy-vendor-and-publishing-packages-58lc). A Go module might seem weird if you’re coming from JavaScript, for example. But they’re a powerful way to organize Go resources.

[blog] Beyond code generation: rethinking engineering productivity in the age of AI agents (https://dropbox.tech/culture/beyond-code-generation-rethinking-engineering-productivity-in-the-age-of-ai-agents). The Dropbox engineering team shared some of their major lessons learned so far.

[blog] Can you ‘learn’ to use AI without being all in? (https://davenporter.substack.com/p/can-you-learn-to-use-ai-without-being) Jason says no. You need to reach for these tools first (doesn’t mean you always use them) and make them part of a daily workflow to really learn them.

[article] The Cursor Developer Habits Report (https://cursor.com/insights). You could imagine that Cursor is sitting on some pretty excellent data right now. They’ve turned some of that into an interesting report. A few of these points may surprise you.

[article] Inside Bloomberg’s flat engineering culture (https://leaddev.com/career-development/inside-bloombergs-flat-engineering-culture). Their tech team is growing, but they’ve stayed flat. Progression may feel slower, but they see decisions made faster.

[blog] Solo founding is at an all-time high: Top performers have these traits in common (https://stripe.com/blog/top-solo-founder-traits). We may see fewer giant software companies in the future, but I’d expect we see a lot more smaller (solo?) ones.

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