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Essays, opinions, and advice on the act of computer programming from Stack Overflow.
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Welcome to life in the chip age
Ryan sits down with Rakesh Kumar, professor of computer engineering at the University of Illinois Urbana-Champaign, about the astounding complexity of manufacturing modern semiconductors, the massive environmental and geopolitical footprint of AI data centers, and how AI models are rapidly shifting…
Don’t Build the Reusable Component Yet
Your .NET parallel loop can become serial in a one-CPU container
CPU-based defaults can leave an I/O-heavy loop processing one record at a time. Raising the limit helps, but each downstream service still needs a concurrency budget it can handle.
Oh, your agents need OAuth2, too
Recorded at LDX3 by LeadDev, Ryan chats with Dan Moore, Senior Director of CIAM Strategy and Identity Standards at FusionAuth, about adapting established OAuth2 protocols for the agentic era, the security necessity of giving autonomous AI agents their own distinct identities, and how AI coding…
It’s ok that computers are (sometimes) better than us
Ryan is joined by Charity Majors, co-founder and CTO at Honeycomb, for a conversation about applying the concept of immutable infrastructure to software development to treat code like cattle instead of pets, shifting the paradigm of system specifications to accommodate the rapid influx of…
The reports of Stack Overflow's death are greatly exaggerated
I’ve seen the recent predictions about Stack Overflow’s demise. They make for compelling headlines, but they confuse a change in how people access knowledge with the disappearance of the knowledge—and the company—behind it.
A JSON schema Is not an AI governance layer
The AI governance argument is happening one layer above the code that actually stops your agent.
Delivering controlled and concentrated context
Check out the new features and capabilities now available in Stack Internal and Stack Internal Community. Try Stack Internal for free by visiting stackinternal.com.
Elevators, toasters, and the birth of Java
Ryan sits down with James Gosling, creator of Java at Sun Microsystems, to talk about the early networking friction that drove the need for interconnectedness, the stringent reliability requirements of consumer electronics companies that inspired the Java virtual machine, and the evolution of…
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…
The Regression Tests Nobody Writes: Capturing How Software Actually Behaves
Is AI really reshaping the developer market?
Building Immersive Virtual Economies: An Introduction to KursarScript (KSPL)
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…
AI says you’re right, formal methods say you’re wrong
Ryan is joined by Gabriela Moreira, CEO at Quint, about why formal specification languages like TLA+ are essential for catching system design flaws before writing code, how Quint brings developer-friendly syntax and executability to formal methods, and the ways trace validation and model-based…
MCP standardized tools. Now we need the infrastructure around them.
Why your platform team shouldn't build an AI context layer (even though they probably could)
Most engineering teams capable of building an internal AI knowledge system think they should. But six months later, it's a platform team's full-time job. Building an in-house AI context layer costs more money and energy than you think.
Your next job doesn’t have a title yet: Emerging role skills Q&A with Corey Hymel of Andela
While the whispers say that everyone is becoming a generalist, that's not where headcount is going.
Why Your Sandbox Never Quite Matches Production (And Why That's Fine)
Sandbox testing works best when you stop chasing production parity. Learn what environment drift actually costs and which parts are worth fixing.
In the directory since 25 Sept 2026 · last checked 9 Nov 2026 · RSS