Visually orchestrating data diagnostics but platform agnostic
Ryan chats with Dataiku CEO and cofounder Florian Douetteau about the complexities of the genAI data stack and how his company is orchestrating it.
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Ryan Donovan
Generating components, not tokens
On today’s episode, Ben and Ryan chat with Laly Bar-Ilan, Chief Scientist at Bit.
WBIT #7: Exploring WebAssembly with the first SO user to get 10k rep
Kyle interviews Michael Stum, a former Stacker who started (and returned) to answering questions on the community site.
WBIT #6: Be curious, ask questions, and don’t argue with JavaScript
Kyle chats with Jesse Tomchak a software engineer at ClickUp about all the spicy backend takes they could find.
WBIT #5: Building a framework to lure web devs to mobile
Kyle interviews Maria Hutt about building the Ionic mobile framework.
A look under the hood: How (and why) we built Question Assistant
Evaluating question quality and determining the appropriate feedback required some classic ML techniques in addition to our GenAI solution.
How can AI perform on the edge?
What are the capabilities, constraints, and benefits of running AI models on edge devices?
WBIT #4: Using GIS to understand the rivers and the lakes that you’re used to
How a theater major became a fullstack engineer building software to manage climate change.
A distributed database that can withstand a meteor strike
Can your database handle a billion customers per month?
Shifting left without slowing down: Q&A with Moti Gindi of Apiiro
Can an org automate security, change its culture to up their dev velocity, and stave off burnout?
Why build your own vector DB? To process 25,000 images per second
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.
WBIT#3: Can good team dynamics make Agile obsolete?
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.
Failing fast at scale: Rapid prototyping at Intuit
Have an idea? Turn it into a prototype first.
WBIT #2: Memories of persistence and the state of state
Bottom line: let React do the React things.
In Rust we trust? White House Office urges memory safety
Is your preferred programming language a matter of national security?
Breaking up is hard to do: Chunking in RAG applications
A look at some of the current thinking around chunking data for retrieval-augmented generation (RAG) systems.
Can a programming language implement time travel?
Computer science deals with concurrency, but what about simultaneity?
AI agents that help doctors get paid
Dan Parsons, co-founder and Chief Experience Officer at Thoughtful AI, talks about how his company is using AI to simplify how providers get paid by insurance companies.
No code, only natural language: Q&A on prompt engineering with Professor Greg Benson
Will prompt engineering replace the coder’s art or will software engineers who understand code still have a place in future software lifecycles?
What language should beginning programmers choose?
Should a language be easy or comprehensive?
If everyone is building AI, why aren't more projects in production?
Ben talks with Shane McAllister, lead developer advocate at MongoDB, Stanimira Vlaeva, senior developer advocate at MongoDB, and Miku Jha, director, AI/ML and generative AI at Google Cloud, about the challenges and opportunities of operationalizing and scaling generative AI models in enterprise organizations.
Climbing the GenAI decision tree
In this sponsored episode, Ben and Ryan are joined by Ria Cheruvu, an AI evangelist at Intel, to discuss the different approaches to incorporating AI models into organizations.
Developers with AI assistants need to follow the pair programming model
CodeGen is fast, but you need to be good.
Controlling cloud costs: Where to start, and where to go from there
In this episode, Ben and Ryan are joined by Joshua Fox, a senior cloud architect at DoiT, to discuss cloud cost optimization. They explore the importance of controlling and understanding cloud costs, the role of good architecture in cost optimization, and strategies for dealing with surprise costs.