The AI ick
How we feel about AI-generated content, what AI detectors tell us, and why human creativity matters. Also, what is art?
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To write secure code, be less gullible than your AI
Ryan is joined by Greg Foster, CTO of Graphite, to explore how much we should trust AI-generated code to be secure, the importance of tooling in ensuring code security whether it’s AI-assisted or not, and the need for context and readability for humans in AI code.
Vibe coding needs a spec, too
Ryan talks with Deepak Singh, VP of Developer Agents and Experiences at AWS and lead at Kiro, about spec-driven development in a vibe coding world. They explore how AI tools have evolved from autocomplete to sophisticated agents that can write code based off of just specs, and how AWS has pioneered spec-driven development through their Kiro agent.
Live from the OpenAI forum: Learning to code in the age of AI
CEO Prashanth Chandrasekar will be speaking at a virtual fireside chat at the OpenAI Forum.
Craft and quality beat speed and scale, with or without agents
Ryan welcomes Tom Moor, head of engineering at Linear, to discuss AI agents’ mixed results for productivity in the development lifecycle, the importance of context for maximizing agents’ effectiveness, and the role that junior developers need to take in a world increasingly driven by AI.
AI agents will succeed because one tool is better than ten
AI agents can chat, use tools, and write new code all from one interface. That's why they'll last.
What leaders need to know from the 2025 Stack Overflow Developer Survey
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.
From multilingual semantic search to virtual assistants at Bosch Digital
From sprawling PDFs to a fast, factual conversational assistant.
Who watches the watchers? LLM on LLM evaluations
While using LLMs to judge LLM outputs might seem like the fox guarding the henhouse, turns out it works pretty well (and scales better than humans).
Beyond code generation: How AI is changing tech teams' dynamics
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.
One is not the loneliest number for API calls
Gil Feig, co-founder and CTO of Merge, joins the show to explore Merge’s approach for reducing third-party APIs to a single call, the complexities of and need for data normalization, and the role that AI and MCP plays in the future of API functionality.
Building AI-ready teams: Why documentation and culture matter more than tools
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.
As your AI gets smarter, so must your API
Ryan sits down with Marco Palladino, CTO of Kong, to talk about the rise of AI agents and their impact on API consumption, the MCP protocol as a new standard for agents, the importance of observability and security in AI systems, and the importance for businesses and entrepreneurs to leverage opportunities in the agentic AI space now.
Democratizing your data access with AI agents
Jeff Hollan, director of product at Snowflake, joins Ryan to discuss the role that data plays in making AI and AI agents better. Along the way, they discuss how a database leads to an AI platform, Snowflake’s new data marketplace, and the role data will play in AI agents.
What an MCP implementation looks like at a CRM company
Ryan chats with Karen Ng, EVP of Product at HubSpot, to chat about Model Context Protocol (MCP) and how they implemented it for their server for their CRM product.
Planning to Arm mobile devices with chips that handle AI
Ryan welcomes Geraint North, AI and developer platforms fellow at Arm, to dive into the impact of GenAI on chip design.
How AI is reshaping developer teams and the future of software development
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.
AI vs Gen Z: How AI has changed the career pathway for junior developers
For promising Gen Z students, a career as a software developer seemed like the golden ticket to career stability and success. But in the age of AI, the career promise for Gen Z software developers is gone.
We built stackoverflow.ai with the community and for the community
Ryan is joined by our very own Ash Zade, Staff Product Manager, and Alex Warren, Staff Software Engineer, to discuss our newly released stackoverflow.ai, how it’s enhancing user experience by combining human-validated answers with AI, and our future plans for deeper personalization and community integration.
Building AI for consumer applications isn’t all fun and games
Kylan Gibbs, CEO of Inworld, joins the show to discuss the technical challenges of creating interactive AI for virtual worlds and games, the significance of user experience, and the importance of accessibility and cost-efficiency in deploying AI models.
From punch cards to prompts: a history of how software got better
Ryan welcomes Darko Mesaroš, Principal Developer Advocate at AWS and all-around computer history buff, to chat about the history of software development improvements and how they made developers made more productive.
Robots in the skies (and they use Transformer models)
Ryan welcomes Nathan Michael, CTO at Shield AI, to discuss what AI looks like in defense technologies, both technically and ethically.
The server-side rendering equivalent for LLM inference workloads
Ryan is joined by Tuhin Srivastava, CEO and co-founder of Baseten, to explore the evolving landscape of AI infrastructure and inference workloads, how the shift from traditional machine learning models to large-scale neural networks has made GPU usage challenging, and the potential future of hardware-specific optimizations in AI.
AI isn’t stealing your job, it’s helping you find it
Wenjing Zhang, VP of Engineering, and Caleb Johnson, Principal Engineer at LinkedIn, sit down with Ryan to discuss how semantic search and AI have transformed LinkedIn’s job search feature. They explore the engineering efforts behind transitioning from keyword-based search and the impact of AI models on LinkedIn’s job seekers and employers.