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Issue 346: Things are getting a little tense

There’s a lot of tension happening in the tech industry and we don’t mean the romantic kind. There’s tension between our old developer workflows and new ones, corporate goals and the everyday realities of devs, and, heck, there’s even tension between humans and the AI tools they use. These week we’re sitting with that tension. Hopefully it’ll help us all find a little bit of balance.

We sit down with Google’s Andi Gutmans for part two of our conversation on the economics of agentic scale—breaking down tokens, ROI, and infrastructure costs for AI-first teams. We also chat with Anaconda’s Greg Jennings on why prompts aren't enough to build secure-by-default coding agents. Maybe there’s always been tension in tech—Tim Lindholm, an early contributor to Java, shares the ups and downs of creating a programming language. Plus, we may have a way to relieve some of tension you’re feeling from untrustworthy AI outputs: the newest features being shipped in Stack Internal.

And we’re not the only ones feeling tense—so is the rest of the web. We’re taking a look at why office workers are turning against AI tools, why being boarding group one on your flight doesn’t guarantee bin space, and why health insurance vanishes the moment you're terminated. Well, one thing you can relax about is how you’ll get your knowledge this week. Time for a sigh of relief, because we have everything you need to know down in the links below.

From the blog

Elevating security, control, and accessibility: Stack Internal 2026.6

In our 2026.6 release, we are shipping updates across administrative security, programmatic API control, developer portal integrations, and platform-wide accessibility—ensuring both your engineers and your AI agents act on verified, decision-grade knowledge.

The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2)

Andi Gutmans, head of Agentic Data Cloud at Google, returns for the second half of his Leaders of Code conversation to talk through the cost and infrastructure side of agentic development. ICYMI, part one covered judgment, code review, and data activation.

The good ol’ days of building Java

Ryan sits down with Tim Lindholm, an early contributor to the Java language at Sun Microsystems, to chat about what it was like building one of the most popular programming languages ever at its inception, why it was strategically important for the Java team to create a cross-platform ABI to compete with Windows NT, and how applets were initially just an interesting demo.

How to build a secure-by-default AI coding agent

Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guardrails, and how Anaconda is using strategic acquisitions to secure the AI software supply chain.

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Interesting questions

Does "early boarding" imply "you get a space in the overheads"?

The law of dibs is not followed in the sky.

How many 00 agents are there?

If there are more than 9, wouldn't they become single 0 agents?

Links from around the web

My local model setup on an M4 Pro Mac mini

A not so mini setup for a Mac mini.

Why office workers are turning against AI

"Whether or not you like AI at work ultimately boils down to a question of power."

“We want it to really confuse people, but also really make people happy.”

If being confused by tech made you happy, Boomers would be way happier.


Onboard, organize, and bring your team up to speed in a jiffy. Try Stack Internal.