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Stack Overflow Blog

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01
Building an agentic SDLC with a QA engineering mindset
Ryan welcomes Suneet Malhotra, Senior Manager of Test Engineering at Motorola Solutions, to chat about building end-to-end agentic SDLC pipelines using MCPs, using Cohen’s kappa to evaluate multiple LLMs-as-judges, and how you can improve requirements by shifting QA left through a specification enrichment stage immediately after the design phase.Phoebe Sajor
02
No Dumb Questions: What is AI context architecture? Why not just build your own?
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
03
Solving integration woes with a hackathon
Ryan welcomes Meryll Blanchet, Director of Engineering for Adobe Brand Visibility, to chat about Adobe’s recent acquisition of Semrush, how Adobe Brand Visibility was born from Semrush’s AI visibility product and Adobe’s LLM Optimizer, and how Adobe used a three-day internal hackathon instead of a large-scale infrastructure integration to quickly deliver value to customers.Phoebe Sajor
04
Your tokenmaxxing is not valuemaxxing
Ryan is joined by Coder’s Rob Whiteley to chat about why tokenmaxxing isn’t proving real value and just triggering Goodhart’s Law, how release speed and PR merges can help you measure agentic outcomes with or without a human-in-the-loop, and what the democratization of skills means for junior developers and the talent pipeline.Phoebe Sajor
05
How to be fearlessly AI native
Ryan welcomes McLaren Stanley, Senior Principal Engineer for Amazon Stores, to discuss what it actually takes to make teams AI native, why agentic engineering is shifting code bottlenecks downstream to testing and deployment, and why robust validation is essential to build trust and enable “fearless commits.”Phoebe Sajor
06
Explorers, exploiters, and the myth of the 100x engineer
The “find the special ones and promote their traits” approach isn’t the best or only way to drive AI adoption and productivity on an engineering team.Eira May
07
Your MVP doesn’t need a Kubernetes cluster
Ryan welcomes Anurag Goel, CEO and co-founder of Render, to discuss why most startups shouldn’t start by managing their Kubernetes and cloud infrastructure.Ryan Donovan
08
Dispatches from O'Reilly: The best risk mitigation strategy in data? A single source of truth
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
09
What happens to the internet when robots act like humans?
Ryan welcomes WPEngine CTO Ramadass Prabakar to the show to chat about what happens—and what we should do—when agents start acting like humans online, how our internet is evolving to serve both human and agentic experiences from the same interface, and what we can do to differentiate and protect human actions online from malicious bot activity.Phoebe Sajor
10
Your trusted knowledge layer: Introducing Stack Internal's new platform experience
Introducing new Stack Internal capabilities as part of our upcoming platform experience. Our latest release turns your existing foundation of knowledge into enterprise memory that your people, teams, and AI agents can act on. Learn how we’re building the trust layer for enterprise AI.Phoebe Sajor, Caroline Thomas
11
Developers are attached to tools because tools encode trust
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
12
You need reliable AI context for your site reliability
Ryan is joined by Asaf Savich, Komodor’s AI Engineering Group Manager, to discuss why modern reliability work requires navigating massive cross-service context, what good context engineering actually likes when AI is integrated into site reliability, and how the work of human SREs is shifting towards strategy and AI agent management.Phoebe Sajor
13
No Dumb Questions: What is the AI bottleneck? How does context engineering fix it?
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
14
Partnerships can keep open source sustainable
Ryan welcomes VoidZero’s Evan You and Cloudflare’s Dane Knecht back to the show to discuss Cloudflare’s recent acquisition of VoidZero and what it means for JavaScript development, how partnerships like theirs can help open-source projects stay maintained and sustainably monetized, and how Cloudflare’s distributed systems are helping to improve developer experience in Vite and beyond.Phoebe Sajor
15
The future of development is full-stack
Live from Snowflake Summit, Ryan talks with Snowflake’s Head of Developer Experience Umesh Unnikrishnan about the industry-wide shift from “vibe coding” for quick prototypes to agentic engineering for enterprise-ready software, how enterprises can scale governance with guardrails like human-in-the-loop approval and control layers that go beyond the underlying LLM, and why Umesh predicts all developers will become someday become full-stack builders.Phoebe Sajor
16
Developers who move fast still need to do it together
At MS Build, Ryan is joined by Cassidy Williams, Senior Director of Developer Advocacy at GitHub and former Stack Overflow Podcast host, to discuss how agentic coding is shifting dev work towards higher-level strategy while increasing decision fatigue; why human taste, community feedback, and mentorship are becoming more essential than ever for developer careers; and the new GitHub Copilot announcements coming out of Microsoft, including the new GitHub Copilot app.
17
Your AI is only as responsible as you are
Recorded at Microsoft Build, Ryan welcomes Sarah Bird, Microsoft’s Chief Product Officer for Responsible AI, about how we can build and use AI responsibly with the NIST approach, why most irresponsible AI comes from experimentation without thought of impact, and how Microsoft is researching thoughtful human/AI workflow design to reduce unnecessary escalation.Phoebe Sajor
18
Building more than just an agent harness
Live from Microsoft Build, Ryan is joined by Jay Parikh, Microsoft’s VP of AI Core, for a conversation on what enterprises need to build, deploy, and run AI agents at scale with demonstrable ROI; how Microsoft built an end-to-end agent development system that goes past just the harness; and how you can evaluate for reliability and correctness in models that get more intelligent and autonomous everyday.Phoebe Sajor
19
What's left for infrastructure-as-code after AI moves in?
Ryan is joined by Rosemary Wang, Developer Advocate at IBM, to explore what infrastructure-as-code looks like once AI starts writing and deploying it.Ryan Donovan
20
Agent orchestration is so two years ago
Ryan welcomes Saahil Jain, CTO of You.com, to discuss why building agents with a 2024 mindset is a mistake as modern models improve at long-horizon tasks, why heavy orchestration layers can hurt model performance more than help it, and why the 2026 competitive edge actually comes from information retrieval and unique data paired with end-to-end evaluation.Phoebe Sajor
21
When the sensor starts thinking: SnortML, agentic AI, and the evolving architecture of intrusion detection
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
22
The good, the bad, and the AI apps
Ryan welcomes Benny Chen, co-founder of Fireworks AI, to the show to explore what actually makes an AI application good or not, how to balance qualitative signals with quantitative metrics when evaluating AI, and how open-source eval protocols and community efforts are setting the standard for AI evaluation.Phoebe Sajor
23
How do you turn AI coding chaos into a repeatable playbook?
Vivek Raghunathan, SVP of engineering at Snowflake, joins Leaders of Code at Snowflake Summit to break down the five-stage framework his org used to go from "let chaos reign" to a repeatable, org-wide system for AI-assisted engineering.Eira May
24
Why intent prediction needs more than an LLM
Ryan sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction, though great for language, isn’t the right inductive bias for forecasting human behavior. They discuss how Yobi builds a “foundation model of behavior” using transformers and graph neural networks instead of chat-style LLMs, and what it takes to run millions of personalization decisions per second while keeping consumer data private.Phoebe Sajor
25
Paging Charity! How can engineering leaders avoid becoming Bond villains?
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
26
Code isn’t the only thing causing your production failures
Ryan sits down with Anish Agarwal, CEO and co-founder of Traversal, to chat about why AI coding agents have made writing code easier but running it safely in production harder, why production failures are really caused by interactions between systems and not just the code itself, and how teams can troubleshoot more effectively when traditional observability tools are not enough for agentic AI workflows.Phoebe Sajor
27
Your AI shipped a backend that boots. That is the whole problem.
Devlin Duldulao
28
The 2026 Developer Survey is now open (for human developers only)!
Once again, we're asking for your help to take the temperature of software development.Ryan Donovan
29
Oh the places you’ll go with spatial data
Ryan is joined by Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, standardized, and interoperable global spatial data sets; and their solutions to the innate challenges of trying to digitally map the world.Phoebe Sajor
30
Dispatches from O'Reilly: From capabilities to responsibilities
Designing contract-bound AI agents for high-stakes execution.Artur Huk

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