Summary
The Pragmatic Engineer’s Gergely Orosz sits down with Nav Singh — better known as NeetCode, creator of the widely used NeetCode coding interview preparation platform — to examine how AI is reshaping software engineering careers and the technical interview landscape. Despite AI being able to write production-quality code for the majority of tasks, coding interviews centered on data structures and algorithms have proven surprisingly durable, with companies like Google actually doubling down on in-person whiteboard formats to prevent AI-assisted cheating.
NeetCode offers a firsthand perspective on what separates engineers who thrive with AI from those who stagnate: the ability to think independently when AI isn’t available, and the mindset to learn whatever a task requires rather than waiting for complete instructions. He argues that personality traits and work ethic are becoming more differentiating than raw coding ability. Notably, NeetCode built a code-execution engine for his own platform using AI assistance in two to three days — a task that would have taken weeks otherwise — though he candidly discusses the quality trade-offs of AI-assisted development and the business decisions around whether to fix known regressions.
The episode also addresses NeetCode’s contentious view that some people should reconsider tech careers entirely given the shifting landscape, and explores how the gap between strong engineers and average ones is widening rather than closing as AI tools proliferate. Sponsors discussed include Antithesis (automated adversarial testing) and Sentry (error monitoring with MCP integration).
📺 Source: The Pragmatic Engineer · Published June 24, 2026
🏷️ Format: Podcast
