Stack Overflow

According to our 2026 Developer Survey, 55% of devs think that AI performs well or very well at complex tasks—although 39% think it's only good, not great. We want to know what kind of complex tasks you're handing off to your AI tools, especially in autonomous agent workflows. If you're using agents to get work done—especially at a smaller company—we want to hear from you. We're recruiting for paid research interviews across engineering, product, support, and more. https://lnkd.in/ec8WqVSV

You need verified knowledge to build. You don't need to be wasting your time searching for it. This month on Stack Internal, we're introducing everything from Scopes—a new way to deliver focused context to your team and AI agents with permission-governed spaces—to a Github connector to new moderator tools. And that's just the tip of the iceberg. Explore the newest features on Stack Internal, the trusted knowledge layer for your AI tech stack: https://lnkd.in/e4Vd4Pi9

Finding important context shouldn't be a scavenger hunt through old chat threads and scattered repos. With the October release for Stack Internal, we're bringing you Scopes, a new way to create permission-governed spaces so teams and AI agents get focused knowledge without unauthorized exposure. Plus we're launching an out-of-the-box GitHub connector, service accounts, and new expert validation tools, so your teams and AI tools can stop searching and start building. Learn more about Stack Internal: https://lnkd.in/eztkXrPg

According to our 2026 Developer Survey, 63% of developers using AI agents are letting them run every single day. But what does that work actually look like? We want to know—and we're recruiting for paid interviews to learn more. If you're using agents to get real work done, whether that's in engineering, product, support, operations, or marketing, we want to hear about it. Sound like you? Tell us a little about what you're doing for a chance to participate in our paid research interviews: https://lnkd.in/ec8WqVSV

🎙️ At OpenAI Dev Day 2026, host Ryan Donovan sat down on the Stack Overflow Podcast with OpenAI's Andrew Ambrosino 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. Listen to the episode: https://lnkd.in/eNiaas2V

Building an AI context layer in-house seems like a piece of cake for a capable engineering team. But six months later, maintaining it has become your platform team’s full-time job. Keeping the pipeline trustworthy, organized, and compliant actually costs more than you think. Eira May dives into the true cost of an in-house knowledge system and what you should keep in mind when you're deciding between build vs. buy. https://lnkd.in/e7GshpSN

🎙️ We're joined by Gabriela Moreira, CEO at Quint Co, 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 testing can verify AI-generated code against real-world production data. https://lnkd.in/e6cmpneY

Engineering job titles are evolving so quickly that traditional hiring strategies are struggling to keep up. In this Q&A with Cory Hymel, Andela's head of research dives into how emerging roles are actively reshaping modern tech teams, and how to tell the difference between fleeting industry buzzwords and the foundational technical skills your team actually needs to build right now. https://lnkd.in/exhZN9Rv

It seems the days of the fully packed office are officially behind us. According to our 2026 Developer Survey, 35% of devs are coding completely remote, 36% are navigating hybrid life, and only 18% are heading into the office everyday for in-person work. Dive into the full results on work, technology, community, and more from the Annual Developer Survey: https://lnkd.in/ez46w6D3

🎙️ We sit down with Josh Triplett from Rust's leadership team to chat about how the borrow checker delivers compile-time memory safety without garbage collection overhead, why Rust consistently ranks as developers' most loved language by providing psychological safety for complex systems, and how strict compiler constraints make Rust an ideal target for AI coding agents. https://lnkd.in/eYktJmxV