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Issue 353: There's no need to panic

It’s easy to get caught up in the tech panic of the week, whether that’s the supposed death of SaaS or the fear of being locked into a single AI provider. But if you look a little closer, we're usually worrying about the wrong things—for example, recent survey data from Stacklok shows that while swapping out AI models is actually pretty easy, the real issue is the complex layer of infrastructure and tooling we build on top of them.

So think of this Overflow as us taking a big breath, all together now. If you’re panicking about the SaaSPocalypse, we’ve got a conversation with engineering leader Nivia Henry at LDX3 about how likely SaaS is to actually survive in the age of AI when we’re all making build vs. buy decisions. Worried about too many interfaces taking over your life? We chat with OpenAI's Andrew Ambrosino at Dev Day about how they merged ChatGPT and Codex into a unified desktop experience—and the massive technical hurdles that went with it. Anxious your vibecoded prototype will never make it to production? We’ve got a field guide this week for taking your agents from a flashy weekend demo to a production-grade system you can actually depend on.

Elsewhere on the web, we’re diving into the culinary panic of rescuing a broken emulsion dressing, why every AI model seems to share the exact same controversial take on humanity, and the relentless optimization of imaginary psychic warfare. Whether you’re trying to jailbreak a brand new console or just trying to figure out what that weird building down the street used to be, there’s no need to panic. Keep calm and carry on down below. We have all you need and more in this week’s links.

From the blog

Rumors of the SaaS demise are greatly exaggerated

Recorded on the floor of LDX3, Ryan chats with Nivia Henry, an engineering leader most recently at Netflix, about the reality of the supposed SaaS apocalypse, the complex calculus of the modern build-versus-buy decision in the era of AI, and the critical importance of understanding system architectures to manage long-term infrastructure costs.

Survey Says: You'll swap the model, but everything you build around it is staying put

Earlier this month, my team at Stacklok surveyed 520 technical leaders to understand whether they were concerned about being locked into frontier labs. The data says they’re already swapping models in and out, but the trap they’re concerned about is the layer on top of the model.

Don't forget about the UI for AI

Recorded at OpenAI Dev Day 2026, Ryan sits down with Andrew Ambrosino, member of the technical staff at OpenAI, for a conversation on OpenAI's strategy for merging ChatGPT and Codex into a unified experience, the advantages of localized computer access in their successful desktop application, and the technical hurdles of constructing ChatGPT Spaces to support real-time multi-agent collaboration.

Production-grade LLMs and agents: a field guide

A maturity model for taking agents from an impressive demo to a system people can depend on — with a self-assessment and the map to a deep-dive on each layer.

Not Every Engineer Gets to Work on What's Next

At Raytheon, work on advanced technologies that shape tomorrow's capabilities.

Interesting questions

Rescuing an emulsion dressing?

And the Caesar salad dressing said, "Et tu, Brute?"

Can it ever hurt someone to be too rational?

Not to hurt your feelings but...the rational answer is, "YES!"

Most efficient material for a telekinetic to launch as a weapon?

Optimization culture has finally reached imaginary psychic warfare.

Links from around the web

Jailbreaking the Switch2

It's a-me, agentic Mario!

Every AI model has the same “controversial” take on humans

How ironic that the sycophantic AI models think we're too sycophantic.

How is music possible

Music can literally alter our realities.

Local Wikipedia is Wikipedia, but only for things a half hour walk from you

Finally, a Wikipedia to settle arguments about what that weird building down the street used to be.


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