Discover how leveraging an intelligent, community-driven knowledge layer is the key to grounding probabilistic tools, preventing AI hallucination, and validating high-quality code.

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.

While AI coding assistants are helping developers become more productive, the true value of AI lies in its ability to automate the non-coding tasks that have historically been bottlenecks, allowing leaders to create more agile teams and focus on higher-level strategic problems.

Phoebe Sajor

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.

The most effective learning doesn’t happen in a classroom. It happens during work.

Eira May

In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar and Christina Dacauaziliqua, Senior Learning Specialist at Morgan Stanley, talk about the importance of experiential learning in fast-paced environments. They emphasize the value of creating intentional learning environments where innovative tools meet collaborative communities to support growth for both individuals and organizations.

Innovation is at the heart of any successful, growing company, and often that culture begins with an engaged, interconnected organization.

Phoebe Sajor

In this episode of Leaders of Code, Jody Bailey, Stack Overflow’s CTPO, Anirudh Kaul, Senior Director of Software Engineering, and Paul Petersen, Cloud Platform Engineering Manager, discuss the U.S. Bank’s journey from traditional banking practices to embracing new technologies.

Striking the balance between speed and strategy is a major challenge for business and tech leaders. That’s where aligned autonomy comes in.

Eira May

How do leaders ensure alignment, autonomy, and productivity as engineering practices continue to evolve?

AI is no longer just a luxury for the most tech savvy companies — it's now a necessity for organizational transformation. How are real teams successfully leveraging and innovating with these new tools?

Phoebe Sajor

In this episode of Leaders of Code, Jody Bailey, Chief Product and Technology Officer at Stack Overflow, sits down with Dane Knecht, the newly appointed Chief Technology Officer at Cloudflare.

Diverse, high-quality data is a prerequisite for reliable, effective, and ethical AI solutions.

David Gibson, Michael Geden

Positioned at the intersection of automation, decision intelligence, and data orchestration, AI agents are quickly emerging as essential tools for aligning business outcomes with technical workflows.

Eira May

What challenges do organizations face when adopting AI, and why is understanding its limitations key to success?

If velocity is just a tool and not a goal, how do you measure real success for engineering teams?

Phoebe Sajor

This post explores crucial lessons learned in the trenches of data licensing, drawing insights from Stack Overflow and the growing importance of socially responsible data practices in a changing internet landscape.

Ellen Brandenberger, David Gibson

How can engineering teams move beyond traditional metrics like velocity to create real business impact?

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.

Katja Skafar, Susi O'Neill

In this episode of Leaders of Code, we chat with guests from Lloyds Banking Group about their focus on engineering excellence and the need for organizations to adapt to new technologies while ensuring customer safety and meeting their expectations.

AI is not a linear process. To scale effectively, engineering leaders must account for varied edge cases, presenting a new set of challenges.

Katja Skafar, Susi O'Neill

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.

Katja Skafar, Susi O'Neill