Ryan sits down with Michael Parker, VP of Engineering at TurinTech to discuss the newest kind of tech debt—AI-generated tech debt. They dive into the uneven productivity results of AI tools, how tech teams are evolving their roles and work in response to these massive technological shifts, and what the nervous developer can do to maintain joy in their work.
Episode notes:
Founded by computer and data scientists from the University College London, TurinTech automates your code optimization so you can deploy better AI models. Preview their new Artemis coding agent for free.
Sharad Kumar lives in Pleasanton, California with his wife and 2 kids. He enjoys playing all musical instruments, and spending time with his family. He has a 2 year old daughter, and a 14 year old son into robotics. He is also passionate about giving back to the community, through their company foundation.
Harshit Omar lives in San Francisco, and is married with a 4 year old son. He used to be a street racer in his college days, loving fast cars and taking risk. Nowadays, he is a big marvel and comic book fan, along side his son. In fact, his son thinks he is Captain America, regularly wielding his shield and mask.
A fun fact about both of these gentlemen: this is their third company to work together in, their second startup, and their wives are sisters. So they are connected by wives, and united by startups.
In their previous startups, Sharad was leading sales and ops and Harshit was leading on the product side. When the company got acquired, it took them 8-9 months to integrate to a different cloud provider. They realized the model was broken, requiring expensive consulting services, and not convenient at all - and they wanted to figure out a better way.
Terms and conditions: Equitybee executes private financing contracts (PFCs) allowing investors a certain claim to ESO upon liquidation event; Could limit your profits. Funding in not guaranteed. PFCs brokered by EquityBee Securities, member FINRA.
Demis Hassabis is the CEO of Google DeepMind. Hassabis joins Big Technology Podcast to discuss where AI progress really stands today, where the next breakthroughs might come from, and whether we’ve hit AGI already. Tune in for a deep discussion covering the latest in AI research, from continual learning to world models. We also dig into product, discussing Google’s big bet on AI glasses, its advertising plans, and AI coding. We also cover what AI means for knowledge work and scientific discovery. Hit play for a wide-ranging, high-signal conversation about where AI is headed next from one of the leaders driving it forward.
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David Sztykman lives in Paris, but used to live in New York for a time. He has always been into video, streaming and photography. For the latter, as a kid, his Dad had a film developing lab in their basement, so he spent many hours doing that before digital changed it all. As a student, he used to tinker with open source video streaming libraries, and eventually worked for Alkamai, responsible for the streaming media for Europe (think the Olympics or Super Bowl). Outside of tech, he has 2 kids and they like to do a lot of legos together. But in general, they are outside kids so usually, they like to get out of the house and do active things.
In his prior role, David was consistently alerted about poor performance on the video streaming. He started to dig into the data streaming portion of, to be alerted on shifts in the stream itself. After a few other opportunities, he was approached to build real time CDN observability, for distributed infrastructure.
Terms and conditions: Equitybee executes private financing contracts (PFCs) allowing investors a certain claim to ESO upon liquidation event; Could limit your profits. Funding in not guaranteed. PFCs brokered by EquityBee Securities, member FINRA.
Cristiano Amon is the CEO of Qualcomm. Amon joins Big Technology to discuss what the AI device of the future looks like—and why he thinks the next wave of personal computing will move beyond the smartphone. Tune in to hear his vision for AI-powered glasses and wearables, what a truly useful agent experience requires, and why he believes the “winner at the edge” will shape the AI race. We also cover AI PCs and what will actually drive adoption, Qualcomm’s push into AI inference in the data center, the state of robotics and industrial AI, and where China may be pulling ahead. Hit play for a Davos-front-row conversation on where AI is heading next—and the chips and constraints that will determine how fast it gets there.
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Pukar Hamal was born in 1991, and is originally from Katmandu, Nepal. He grew up with no plumbing and no electricity, prior to moving to the states to grow up in Queens. Eventually, he moved to the Bay Area to attend Stanford, and fell in love with the area and the forward thinking culture. Outside of tech, he's been married for a few years. He enjoys listening to podcast about tech, finance, and economics, along with playing tennis every now and again.
In his past venture, Pukar was on the one yard line for making a deal on his company. Before it could close, his team was hit with a security due diligence questionnaire that halted the process. Having that experience drove him to build something to speed up the execution and experience of customer assurance.
Terms and conditions: Equitybee executes private financing contracts (PFCs) allowing investors a certain claim to ESO upon liquidation event; Could limit your profits. Funding in not guaranteed. PFCs brokered by EquityBee Securities, member FINRA.
Ryan welcomes Prakash Chandran, CEO and co-founder of Xano, to the show to discuss the intricate relationship between frontend and backend development, the potential challenges that universal frontend interfaces pose for developers, and the importance of understanding both your frontend and your backend when using AI code.
Episode notes:
Xano is a no-code backend platform that lets you build systems with visual logic, APIs, and modular AI components. Check out their tutorials on YouTube.
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too.
Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it.
Brian #1: Better Django management commands with django-click and django-typer
Anthropic is partnering with the Python Software Foundation in a landmark funding commitment to support both security initiatives and the PSF's core work.
The funds will enable new automated tools for proactively reviewing all packages uploaded to PyPI, moving beyond the current reactive-only review process.
The PSF plans to build a new dataset of known malware for capability analysis
The investment will sustain programs like the Developer in Residence initiative, community grants, and infrastructure like PyPI.
Recent-ish standards, PEPs 518 (2016), 517 (2017), 621 (2020), and 658 (2022) made many uv design decisions possible
And uv drops many backwards compatible decisions kept by pip.
Dropping functionality speeds things up.
“Speed comes from elimination. Every code path you don’t have is a code path you don’t wait for.”
Some of what uv does could be implemented in pip. Some cannot.
Andrew discusses different speedups, why they could be done in Python also, or why they cannot.
I read this article out of interest. But it gives me lots of ideas for tools that could be written faster just with Python by making design and support decisions that eliminate whole workflows.
Upgrade Django, has a great discussion of how to upgrade version by version and why you might want to do that instead of just jumping ahead to the latest version. And also who might want to save time by leapfrogging
Also has all the versions and dates of release and end of support.
Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Gemini's case as undisputed AI leader 2) Google and Apple ink a deal for Gemini to fix Siri 3) Is all this AI going to hurt Google's business model? 4) Who will be better at AI ads: Google or OpenAI? 5) Google Gemini's Personal Intelligence 6) Exits at Thinking Machines Lab 7) Is Thinking Machines toast? 8) Claude work arrives! It's Claude Code for non-coders 9) Are we in the age of the empowered individual? 10) Harness Hive stand up!
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From the floor at AWS re:Invent, Ryan is joined by AWS Senior Principal Engineer David Yanacek to chat about all things AWS, from the truth behind AWS’s Black Friday origin mythos to the development of essential cloud tools like SQS and DynamoDB. Plus, how David envisions autonomous agents will ease developers' operational burdens.
