Stack Overflow

AI allows engineering teams to generate more code than they can reasonably review. This creates a real problem that goes beyond just code quality, our Chief Product and Technology Officer Jody Bailey shares with CTO Uncovered Media, especially when important technical judgement lives solely in the heads of your engineers. The good news? Your technical teams already have the solution, now you just need to document it. https://lnkd.in/eU5hk_vr

While almost every industry uses some AI in their work, fintech (55%) and media and advertising (50%) come out on top when it comes to daily agentic AI usage, with energy (17%) being the industry with the lowest percentage of daily agentic AI users, according to our latest tech survey. Explore more findings from our #StackOverflowKnows survey on AI agents at work: https://lnkd.in/e4RYdVjs

What even is AI context architecture? 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. Why is it so important? What makes for good AI context architecture? Why buy one when you can build your own? https://lnkd.in/eQb8ZJEK

🎙️ We're 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. https://lnkd.in/edvsnifa

🎙️ We welcome 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.” https://lnkd.in/gesRqV6W

For engineering teams who can build their own AI knowledge system, an in-house build seems like a no-brainer. But just because you can build it yourself doesn't mean you should—especially when you don't know how much it'll really cost you. In this article, we dive into what it takes to build your own production-grade knowledge pipeline, how much it'll actually cost your team to create and maintain, and why building a context infrastructure yourself might be the wrong decision for your business. https://lnkd.in/gN-MeVCm

Stack Overflow was everywhere at #Ai42026—from the floor to the stage. Our very own Ryan Donovan took the stage with PayPal's Srini Venkatesan for a fireside chat on closing the gap between AI capabilities and impact, while Stackers on the expo floor spoke with attendees about how we're building the trust layer for enterprise AI with Stack Internal. Learn how Stack Internal turns your existing foundation of knowledge into enterprise memory that your people, teams, and AI agents can act on: https://lnkd.in/gUfRmCgJ

🎙️ We welcome Anurag Goel, CEO and co-founder of Render, to discuss why most startups shouldn’t start by managing their Kubernetes and cloud infrastructure, why we're heading to a future where your application itself may allocate its own compute, and why DevOps jobs aren’t going anywhere. https://lnkd.in/gAu8dC7f

When it comes to AI-augmented engineering teams, it can be easy to focus solely on the one or two engineers who are suddenly operating at a different scale. But real impact isn’t about individual heroics. In this Leaders of Code companion piece, Eira May dives into the explorer vs. exploiter binary, the myth of the 100x engineer, and what steps leaders can take from how Snowflake's Vivek Raghunathan built a successful AI-assisted engineering organization. https://lnkd.in/gGcGv37H

Your semantic layer doesn't eliminate data risk. But it does change the economics of data risk. In this Dispatch from O'Reilly, Blue Yonder's Jeremy Arendt explores the semantic layer as a risk mitigation strategy and why a single source of truth is the best way for organizations to tackle the practical, operational risks that come from bad data management. https://lnkd.in/gws7TW_w