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.
Ryan welcomes Nathan Michael, CTO at Shield AI, to discuss what AI looks like in defense technologies, both technically and ethically.
So long and thanks for all the bits!
Large language models are non-deterministic by design. Here's how you can inject a little bit of determinism into GenAI workflows.
On this episode, Ryan chats with Vish Abrams, chief architect at Heroku, about all the work that needs to be done after you’ve vibe coded your dream app.
Ryan is joined by Jan Seredynski, Mobile Security Researcher and Pentester at Guardsquare, to talk about how you protect your app when the attackers control the code and the device it runs on.
Snowflake customers can now easily enrich their AI applications and agentic systems with some of the most trusted, highest-quality data available while respecting our community members who provide this content with proper attribution.
Kyle is joined by his former colleague Tyler McEntee, now a senior software engineer at Jona, to talk about doing everything all at once at a startup.
Money is pouring into the AI industry. Will software survive the disruption it causes?
On this episode, Ryan chats with Henrik Rexed, Cloud Native Advocate at Dynatrace, about debugging cloud-based applications like you would a local app.
Avoiding bad data is just as important in AI; it can open you to fines, lawsuits, and lost customers.
Ryan chats with Dataiku CEO and cofounder Florian Douetteau about the complexities of the genAI data stack and how his company is orchestrating it.
On today’s episode, Ben and Ryan chat with Laly Bar-Ilan, Chief Scientist at Bit.
Kyle interviews Michael Stum, a former Stacker who started (and returned) to answering questions on the community site.
Kyle chats with Jesse Tomchak a software engineer at ClickUp about all the spicy backend takes they could find.
Kyle interviews Maria Hutt about building the Ionic mobile framework.
Evaluating question quality and determining the appropriate feedback required some classic ML techniques in addition to our GenAI solution.
What are the capabilities, constraints, and benefits of running AI models on edge devices?
How a theater major became a fullstack engineer building software to manage climate change.
Can your database handle a billion customers per month?
Can an org automate security, change its culture to up their dev velocity, and stave off burnout?
Ben and Ryan chat with Babak Behzad, senior engineering manager at Verkada, about running a pipeline that vectorizes 25,000 images per second into a custom-built vector database. They discuss whether the speed is due to technical brains or brawn, the benefits of processing on device vs. off, and the importance of privacy when using image recognition on frames from a video camera.
Kyle welcomes Wes Copeland, a senior frontend engineer at Apartment Advisor, to the interview. They talk about how good test coverage helps you develop software faster, the benefits of low-fidelity prototypes, and why he prefers to avoid vibes-driven development.
Have an idea? Turn it into a prototype first.
