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

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

Engineering teams have upgraded their tools. Have they upgraded how they work?

Eira May

On this episode of Leaders of Code, Eric Anderson, director of engineering at Intuit, joins Stack Overflow engineering director Ben Matthews to talk about what happens to software teams when AI makes code generation seemingly free.

Eira May

Because someone still has to own the consequences of what gets built and whether it can function at scale.

Eira May

Jon Hyman, co-founder and CTO of Braze, shares how he's led the company's engineering organization over nearly 15 years of growth — and how they transformed into an AI-first team in just a few months.

Eira May

Dana Lawson, CTO of Netlify, shares her insights on leading a lean, globally distributed engineering team that powers 5% of the internet.

Eira May

For most of the web's history, content platforms operated on a simple binary: open or blocked. Then generative AI changed everything.

Eira May

Inside the pay-per-crawl model colaunched by Stack Overflow and Cloudflare.

Successful implementation and scaling of enterprise AI projects is fundamentally a people and operating model challenge, not just a technology problem.

Eira May

Learn how IBM deployed and integrated AI tools in the ultimate enterprise environment.

What we learned from the first year of Leaders of Code.

Eira May

Lessons learned building a global API platform, navigating hyper-growth, and API-powered AI agents.

Here, we’ve distilled the survey findings, laid out action items for leadership, and dug into recommendations around agentic AI for the enterprise. Spoiler alert: It all comes back to data quality.

Eira May

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.

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.

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.

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?

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.

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