Building stronger engineering teams with aligned autonomy
Striking the balance between speed and strategy is a major challenge for business and tech leaders. That’s where aligned autonomy comes in.
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Leaders of code
There is no golden path anymore: Engineering practices are being rewritten
How do leaders ensure alignment, autonomy, and productivity as engineering practices continue to evolve?
"My job is going to change in a dramatic way”: Exploring the future of the internet with Cloudflare
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.
Integrating AI agents: Navigating challenges, ensuring security, and driving adoption
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.
Understanding the limitations of AI is crucial for enterprise success
What challenges do organizations face when adopting AI, and why is understanding its limitations key to success?
Beyond speed: Measuring engineering success by impact, not velocity
If velocity is just a tool and not a goal, how do you measure real success for engineering teams?
Moving beyond velocity: Measuring real business impact
How can engineering teams move beyond traditional metrics like velocity to create real business impact?
Banking on innovation: Engineering excellence in regulated financial services
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.
Standardization and simplification as key to engineering excellence
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.
Engineering teams need to adapt to AI’s scaling challenges
AI is not a linear process. To scale effectively, engineering leaders must account for varied edge cases, presenting a new set of challenges.
“There is a real cost to moving fast”: Using AI to accelerate drug discovery
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.
Using GenAI as a learning tool, not a crutch
AI is changing how we think about coding. While tools evolve, critical thinking, problem-solving, and creativity remain the essential skills for top developers.
AI is shifting focus from syntax to critical thinking
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.
To get ahead with AI, fine-tune your data strategy
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.
Junky data is like an out-of-tune guitar—it prevents AI harmony
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.
