Podcast
AI + a16z
Hosted by a16z · EN
Artificial intelligence is changing everything from art to enterprise IT, and a16z is watching all of it with a close eye. This podcast features discussions with leading AI engineers, founders, and experts, as well as our general partners, about where the technology and industry are heading.
59episodes
Episodes
Newest firstAll episodes
Who's Coding Now? AI and the Future of Software Development
May 16, 202500:44:30Summary readyIn this episode of the a16z AI podcast, a16z Infra partners Guido Appenzeller, Matt Bornstein, and Yoko Li explore how generative AI is reshaping software development. From its potential as a new high-level programming abstraction to its current practical impacts, they discuss whether AI coding tools will redefine what it means to be a developer.Why has coding emerged as one of AI's most powerful use cases? How much can AI truly boost developer productivity, and will it fundamentally change traditional computer science education? Guido, Yoko, and Matt dive deep into these questions, addressing the dynamics of "vibe coding," the enduring role of formal programming languages, and the critical challenge of managing non-deterministic behavior in AI-driven applications.Among other things, they discuss:The enormous market potential of AI-generated code, projected to deliver trillions in productivity gains.How "prompt-based programming" is evolving from Stack Overflow replacements into sophisticated development assistants.Why formal languages like Python and Java are here to stay, even as natural language interactions become common.The shifting landscape of programming education, and why understanding foundational abstractions remains essential.The unique complexities of integrating AI into enterprise software, from managing uncertainty to ensuring reliability. Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.
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MCP Co-Creator on the Next Wave of LLM Innovation
May 2, 202500:53:39Summary readyIn this episode of AI + a16z, Anthropic's David Soria Parra — who created MCP (Model Context Protocol) along with Justin Spahr-Summers — sits down with a16z's Yoko Li to discuss the project's inception, exciting use cases for connecting LLMs to external sources, and what's coming next for the project. If you're unfamiliar with the wildly popular MCP project, this edited passage from their discussion is a great starting point to learn:David: "MCP tries to enable building AI applications in such a way that they can be extended by everyone else that is not part of the original development team through these MCP servers, and really bring the workflows you care about, the things you want to do, to these AI applications. It's a protocol that just defines how whatever you are building as a developer for that integration piece, and that AI application, talk to each other. "It's a very boring specification, but what it enables is hopefully ... something that looks like the current API ecosystem, but for LLM interactions."Yoko: "I really love the analogy with the API ecosystem, because they give people a mental model of how the ecosystem evolves ... Before, you may have needed a different spec to query Salesforce versus query HubSpot. Now you can use similarly defined API schema to do that."And then when I saw MCP earlier in the year, it was very interesting in that it almost felt like a standard interface for the agent to interface with LLMs. It's like, 'What are the set of things that the agent wants to execute on that it has never seen before? What kind of context does it need to make these things happen?' When I tried it out, it was just super powerful and I no longer have to build one tool per client. I now can build just one MCP server, for example, for sending emails, and I use it for everything on Cursor, on Claude Desktop, on Goose."Learn more:A Deep Dive Into MCP and the Future of AI ToolingWhat Is an AI Agent?Benchmarking AI Agents on Full-Stack CodingAgent Experience: Building an Open Web for the AI EraFollow everyone on X:David Soria ParraYoko Li Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.
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What Is an AI Agent?
Apr 28, 202500:36:26Summary readyIn this episode of AI + a16z, a16z Infra partners Guido Appenzeller, Matt Bornstein, and Yoko Li discuss and debate one of the tech industry's buzziest words right now: AI agents. The trio digs into the topic from a number of angles, including:Whether a uniform definition of agent actually existsHow to distinguish between agents, LLMs, and functionsHow to think about pricing agentsWhether agents can actually replace humans, andThe effects of data siloes on agents that can access the web.They don't claim to have all the answers, but they raise many questions and insights that should interest anybody building, buying, and even marketing AI agents.Learn more:Benchmarking AI Agents on Full-Stack CodingAutomating Developer Email with MCP and Al AgentsA Deep Dive Into MCP and the Future of AI ToolingAgent Experience: Building an Open Web for the AI EraDeepSeek, Reasoning Models, and the Future of LLMsAgents, Lawyers, and LLMsReasoning Models Are Remaking Professional ServicesFrom NLP to LLMs: The Quest for a Reliable ChatbotCan AI Agents Finally Fix Customer Support?Follow everybody on X:Guido AppenzellerMatt BornsteinYoko Li Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Benchmarking AI Agents on Full-Stack Coding
Mar 28, 202500:33:28Summary readyIn this episode, a16z General Partner Martin Casado sits down with Sujay Jayakar, co-founder and Chief Scientist at Convex, to talk about his team’s latest work benchmarking AI agents on full-stack coding tasks. From designing Fullstack Bench to the quirks of agent behavior, the two dig into what’s actually hard about autonomous software development, and why robust evals—and guardrails like type safety—matter more than ever. They also get tactical: which models perform best for real-world app building? How should developers think about trajectory management and variance across runs? And what changes when you treat your toolchain like part of the prompt? Whether you're a hobbyist developer or building the next generation of AI-powered devtools, Sujay’s systems-level insights are not to be missed.Drawing from Sujay’s work developing the Fullstack-Bench, they cover:Why full-stack coding is still a frontier task for autonomous agentsHow type safety and other “guardrails” can significantly reduce variance and failureWhat makes a good eval—and why evals might matter more than clever promptsHow different models perform on real-world app-building tasks (and what to watch out for)Why your toolchain might be the most underrated part of the promptAnd what all of this means for devs—from hobbyists to infra teams building with AI in the loopLearn More:Introducing Fullstack-BenchFollow everyone on X:Sujay JayakarMartin Casado Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.
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Automating Developer Email with MCP and Al Agents
Mar 21, 202500:44:39Summary readyIn this episode of AI + a16z, Resend founder and CEO Zeno Rocha sits down with a16z partner Yoko Li to discuss:How generative AI — powered by agents and, now, MCP — is reshaping the email experience for developers, as well as the overall world of programming. Zeno's obsession with developer experience has evolved into designing for "agent experience" — a new frontier where LLM-powered agents are not only building products but also operating within them. How email, one of the most ubiquitous tools for developers and end users alike, is being reimagined for a future where agents send, parse, and optimize communication. What it means to build agent-friendly APIs. The emerging MCP protocol, and how AI is collapsing the creative loop for prosumers and developers alike.Learn more:What is AX (agent experience) and how to improve itA deep dive into MCP and the future of AI toolingDracula themeFollow everyone on X:Zeno RochaYoko Li Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.
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Agents, Lawyers, and LLMs
Feb 21, 2025Tap to summarizeIn this episode of AI + a16z, Aatish Nayak, head of product at Harvey, sits down with a16z partner Kimberly Tan to share his experience building AI products for enterprises — including the legal profession — and how to address areas like UX, trust, and customer engagement. Importantly, Aatish explains, industries like law don't need AGI or even the latest and greatest models; they need products that augment their existing workflows so they can better serve clients and still make it home for dinner.Learn more:BigLaw BenchFollow everyone on X:Aatish NayakKimberly Tan Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Reasoning Models Are Remaking Professional Services
Feb 14, 2025Tap to summarizeIn this episode of AI + a16z, a16z partner Alex Immerman sits down with Hebbia founder and CEO George Sivulka to discuss the potential for reasoning models and AI agents to supercharge knowledge-worker productivity — and the global economy along with it. As George explains, his customers are already saving significant time and and effort on important, but monotonous, tasks, and improved models paired with savvy users will continue to reshape how industries including finance, law, and other professional services operate.Follow everyone on X:George SivulkaAlex Immerman Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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The Researcher to Founder Journey, and the Power of Open Models
Aug 16, 2024Tap to summarizeIn this episode of the AI + a16z podcast, Black Forest Labs founders Robin Rombach, Andreas Blattmann, and Patrick Esser sit down with a16z general partner Anjney Midha to discuss their journey from PhD researchers to Stability AI, and now to launching their own company building state-of-the-art image and video models. They also delve into the topic of openness in AI, explaining the benefits of releasing open models and sharing research findings with the field.Learn more:FluxKeep the code to AI open, say two entrepreneursFollow everyone on X:Robin RombachAndreas BlattmannPatrick EsserAnjney Midha Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Welcome to the AI + a16z podcast
Apr 8, 2024Tap to summarizeThe AI + a16z podcast captures our thinking on AI across a broad swath of areas, from the infrastructure that powers today’s foundation models to how specific tools, like LLMs, are reshaping the hiring process. Looking forward, you can expect to hear about a list of topics that includes the latest advances in generative AI, cybersecurity, and the emerging stack of tools for building and running LLMs. Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
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