**Kieran Kunhya** (0:00)
The following is a conversation all about FFmpeg and VLC with Jean-Baptiste Kempf and Kieran Kunhya. FFmpeg is an open source software system that is the invisible backbone behind YouTube, Netflix, Chrome, VLC, Discord, and basically every platform that touches video or audio on the internet. It can decode, encode, transcode, stream and play almost any video or audio format ever created. To me, it is one of the most incredible software systems ever developed and it's all done by volunteers. VLC is also a legendary piece of software. It is an open source media player that plays basically anything you throw at it, any format, any platform, no ads, no tracking. It has been downloaded over six billion times. Again, for me, it had been one of my favorite pieces of software ever with the most legendary logo, which I of course had to honor in this conversation by wearing the VLC traffic cone hat the whole time.
Again, above all else, thank you to the incredible volunteer engineers who put their heart and soul into this code that has been used and loved by billions of people, thank you.
And about the two great engineers and human beings I'm talking to in this episode. Jean-Baptiste is the president of VideoLAN and is a key figure behind VLC and FFmpeg. Kieran is a long time codec engineer, FFmpeg contributor and the man behind the now infamous FFmpeg account on Twitter, X, that I recommend everybody follow. For the memes and for the unapologetic celebration of open source and great low-level software engineering. Let me also say that it's inspiring and humbling that so much of modern civilization rests on software built by people who are not chasing fame or money but are obsessed with the craft of engineering. We live in a world where billions of people consume video every day without ever thinking about the invisible machinery underneath it. But that machinery matters. Open source infrastructure matters. It is one of the great examples of human beings quietly collaborating across borders to build something useful, durable, and elegant for the rest of us. This conversation is not just about codecs and media pipelines, it is also about the deeper spirit of engineering and generosity that makes projects like FFmpeg possible. Again, I can never say it enough. Thank you.
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This episode is brought to you by Larridin, a platform that helps organizations understand how AI is being used across their business and what it's doing for productivity and performance. There really is a transformation happening at the individual developer level. Many people switch from writing, let's say, 50 percent, 40 percent, 30 percent of their code where the rest is written by AI. They switch to basically where it's percent of code written by hand via so-called agentic engineering. So we could see that in the individual developers. Now, the question is when you scale that to 2, 3, 4, 5, 100 developers, what does that look like? What does that look like from the perspective of a company that's trying to actually ship products and trying to coordinate teams so they can build and collaborate together? How is AI being used to increase the productivity of the individual contributors and teams seen as a whole? That's what Larridin does. If AI is part of your organization, now is the moment to get control of it. Head to larridin.com to book a demo and to start maximizing impact from AI.
This episode is also brought to you by Blitzi, an AI-powered autonomous software development platform built for large, complex code bases. Huge number of cooperative agents, really optimized for huge code bases, optimized for scaling speed when you're talking about a very large number of agents working together. And that's the big interesting question. When you have a huge number of agents, huge company, huge code base, how do you then, seen at the big picture code base level, have the growth and development, the evolution of that code base where a very large percentage of that code base is continuously worked on autonomously? The question is when you have a large code base that already delivers value, they're already sell stuff that already has huge number of customers, how do you then use agentic engineering to continue adding features, continuing improving, continuing the usual kind of development with the testing, with the security, all that kind of stuff? How do you do that without messing stuff up, without filling up your code base with AI slop, and nevertheless doing it so for the most part autonomously? Not fully autonomously, semi-autonomously, but majority of the code is written autonomously. That's what BlitZy specializes in, the future of autonomous software development is here. Learn more or speak to a member of their team at blitzy.com/lex. That's blitzy.com/lex.
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