For promising Gen Z students, a career as a software developer seemed like the golden ticket to career stability and success. But in the age of AI, the career promise for Gen Z software developers is gone.
Money is pouring into the AI industry. Will software survive the disruption it causes?
Ryan welcomes Anil Dash, writer and former Stack Overflow board member, back to the show to discuss how AI is not a magical technology, but rather the normal next step in computing’s evolution. They explore the importance of democratizing access to technology, the unique challenges that LLMs’ non-determinism poses, and how developers can keep Stack Overflow’s ethos of community alive in a world of AI.
Ryan sits down with Corey Quinn, Chief Cloud Economist at Duckbill, at AWS re:Invent to get Corey’s patented snarky take on all the happenings from the conference.
Lessons learned building a global API platform, navigating hyper-growth, and API-powered AI agents.
Ryan welcomes Simone Kalmakis, VP of Engineering at Viam, to dive into how her team is bridging the gap between software and robotics, the importance of abstraction layers in making robotics more accessible, and the real-world applications of robotics from lobster traps to industrial sanding robots.
Discover how leveraging an intelligent, community-driven knowledge layer is the key to grounding probabilistic tools, preventing AI hallucination, and validating high-quality code.
Ryan welcomes Tom Moor, head of engineering at Linear, to discuss AI agents’ mixed results for productivity in the development lifecycle, the importance of context for maximizing agents’ effectiveness, and the role that junior developers need to take in a world increasingly driven by AI.
This episode draws on insights from the 2025 Stack Overflow Developer Survey to equip leaders with ways to navigate the current AI landscape and capture value beyond the hype.
This episode provides insights and strategies to successfully navigate AI adoption in engineering teams. Learn how to build developer confidence and create environments that drive real results beyond the hype.
Whether you're leading an engineering team today or preparing for an AI-integrated future, this conversation provides practical insights into where AI can have the greatest impact on your software delivery process.
If velocity is just a tool and not a goal, how do you measure real success for engineering teams?
Financial institutions face a balancing act between tech innovation and strict regulations. As customer expectations for improved user experience and demands from those tasked with enhancing features keep rising, engineering teams need to find a harmonious middle ground.
On this episode of Leaders of Code, Maureen Makes, VP of Engineering at Recursion, discusses AI's role in drug discovery, scaling and integration challenges, and the importance of innovation in achieving the high standards desired.
AI is changing how we think about coding. While tools evolve, critical thinking, problem-solving, and creativity remain the essential skills for top developers.
Deepak Singh, VP of Developer Agents and Experiences at AWS, helps Ryan break down the hype around agentic AI in software development. They cover the definition and real-world functionality of AI agents, how developers can integrate them into existing workflows, and the importance of establishing guardrails to ensure trust and security in agentic AI.
In this episode of Leaders of Code, host Ben Popper, Stack Overflow CEO Prashanth Chandrasekar, and GitLab Field CTO Lee Faus explore how GenAI is reshaping software development practices.
Stack Overflow CEO Prashanth Chandrasekar sat down with Ryan at HumanX 2025 to talk about how Stack is integrating AI into its public platform, the enormous importance of a high-quality knowledge base in your AI journey, how AI tools are empowering junior developers to build better software, and much more.
Tillman Elser, AI/ML lead at Sentry, joins Ryan for a conversation about improving error monitoring with AI and ML. They talk through the challenges of analyzing stack traces, the innovative use of embeddings to improve error grouping, the trial-and-error process of developing algorithms, and where Sentry’s AI capabilities are headed next.
In the first episode of our new podcast series, Leaders of Code, we sat down with Don Woodlock, Head of Global Healthcare Solutions at InterSystems, and Stack Overflow CEO Prashanth Chandrasekar to discuss data strategy's critical role in AI development.
In our very first episode, Stack Overflow CEO Prashanth Chandrasekar talks to Don Woodlock, Head of Global Healthcare Solutions at InterSystems, about the challenges in their AI journey and the critical role of a robust data strategy in any successful AI initiative.
Ryan welcomes Zach Lloyd, founder and CEO of Warp, to the show to talk about reimagining the terminal. They also discuss why Warp was built in Rust (“it’s definitely harder”), how AI is transforming developer tools, and what Zach (formerly a principal engineer at Google) learned building Docs and Sheets.
More developers are sandwiched between caring for kids and older relatives. What does this mean for them and for the industry as a whole?
Jeremy “Jezz” Kellway, VP of Engineering for Analytics and Data & AI at EDB (Enterprise Database), joins Ryan for a conversation about Postgres and AI. They unpack how Postgres is becoming the standard database for AI applications, the importance of managing unstructured data, and the implications of data sovereignty and governance in AI.
