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Scott Hanselman and Ryan Donovan discuss the nuances of "vibe coding" with AI, exploring how human judgment, experience, and context remain crucial in software development, even as AI tools become more sophisticated.
A conversation with MIT and Stanford professor Alex "Sandy" Pentland explores how AI can help build better communities by fostering shared wisdom, enabling more constructive dialogues, and connecting people with similar interests while avoiding the pitfalls of current social media platforms.
Dan Ciruli discusses how enterprises can effectively run legacy VM-based applications alongside modern containerized workloads by using virtualization technologies that provide unified networking, security, and infrastructure management across different application types.
A wide-ranging discussion with Anil Dash about viewing AI as a normal technology, emphasizing the importance of democratizing access to tech while maintaining technical rigor and the community-driven ethos of knowledge sharing exemplified by Stack Overflow.
A conversation with Stack Overflow's CEO and Director of Data Science at AWS re:Invent 2025 explores the future of AI agents, robotics, job market disruption, and the challenges of enterprise AI adoption and trust.
An exploration of Macroscope's AI-powered approach to understanding code bases, using abstract syntax trees and language models to provide high-signal code reviews, project summaries, and insights for engineering teams of all sizes.
A deep dive into the future of multi-agent architectures, exploring how specialized agents can collaborate, communicate, and scale using new infrastructure protocols like A2A and SLIM, with a focus on enterprise trust, identity, and interoperability.
David Hsu discusses how AI is transforming software engineering by enabling non-technical people to build applications through vibe coding, while emphasizing the critical need for guardrails, higher-level programming primitives, and security mechanisms to prevent potential errors and data breaches.
Benjamin Klieger discusses how Groq built Compound, an efficient AI agent with fast inference and effective evaluations that can search the web, execute code, and provide responses in under ten seconds.
AI code generation requires more critical thinking from developers to identify and mitigate potential security flaws, especially in complex design problems and emerging issues like hallucinations.
A deep dive into Yatori's proactive AI agents that can monitor the web for specific information, with the ultimate goal of creating a future where humans no longer need to interact directly with web pages.
ARM is exploring ways to optimize mobile devices for generative AI by developing specialized chips and techniques like model compression, quantization, and flexible hardware architectures. The company is focusing on reducing model sizes, experimenting with different data types, and creating tools that enable efficient AI inference across various computing units like CPUs, GPUs, and NPUs.
In this episode of the Stack Overflow Podcast, Jeffrey Van Gogh, a director of engineering at Google and board member of the Kotlin Foundation, discusses Kotlin's evolution from an Android-specific language to a versatile, multi-platform programming language with features that make development more productive and less error-prone. The conversation explores Kotlin's key advantages, including null safety, coroutines for asynchronous programming, and its ability to interoperate seamlessly with Java while offering modern language features.