When code gets cheap, the hard part is deciding what “correct” means and building a reliable way to check it.

Markus Eisele

In this No Dumb Questions, Phoebe asks Stack’s Engineering Manager Doug Whitley and Product Manager Ash Zade everything she wants to know about AI context architecture. What exactly is it? Why is it so important? What makes for good AI context architecture? Why buy one when you can build your own?

Phoebe Sajor

Your semantic layer is a risk mitigation strategy. Not risk in the abstract, compliance-framework sense, but the practical, operational risk that quietly drains organizations every day.

Jeremy Arendt

The tools themselves are new and their capabilities are in constant flux. If your kitchen knife kept changing shape, weight, and edge, you’d have to relearn it every time; that’s a hard tool to build trust in. But it also points to a flaw in how you use that tool, the process around it, and the way the tool reinforces the process.

Ryan Donovan

In this No Dumb Questions, Stack's Director of Data Science Michael Foree teaches Phoebe about AI context, context engineering, and what she can do to become a better context engineer.

Phoebe Sajor

Signature-based detection has always known what it was looking for. Machine learning and autonomous agents are changing the question entirely, shifting from "does this match a known pattern?" to "does this actually make sense in context?"

Samaresh Kumar Singh

If you want your values to spread throughout the industry, the best thing you can possibly do is succeed and make others want to imitate you.

Charity Majors

Once again, we're asking for your help to take the temperature of software development.

Ryan Donovan

Designing contract-bound AI agents for high-stakes execution.

Artur Huk

How attackers took twenty thousand Instagram accounts by asking Meta's AI politely, and why that failure is about to become common.

Fabio Salvadori

Capacity is one of the hardest problems because it sits at the knotty, gnarled-up intersection of so many other hard problems.

Charity Majors

If your coding agent has questions, Stack Overflow for Agents has answers, now in beta.

David Gibson, Janice Manningham

AI reliability issues stem from three separate architectural challenges that keep getting lumped into the same category. Prompt engineering alone can't fix them. But the sourcing and verification frameworks media organizations have used for centuries translate into clear engineering solutions developers can implement today.

Ritoban Mukherjee

If AI is the new power tool for developers, is there still value in artisanal craft when anyone can be a builder?

Phoebe Sajor

AI’s impact on software engineering continues, and more and more of that AI is packaged as agents as results from our newest pulse survey show agentic usage has almost doubled (59%) since we last asked about it in our annual Developer Survey

Erin Yepis

Experiments in agentic engineering and AI-driven development.

Andrew Stellman