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.
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Ryan Donovan
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.
Building GenAI features in practice with Intuit Mailchimp
Ryan and Ben chat with Shivang Shah, Chief Architect, and Jon Fasoli, Chief Design & Product Officer, both of Intuit Mailchimp, about implementing GenAI and how all the pieces came together to make a better end user experience.
Optimizing both hardware and software for GenAI
Ryan and Ben chat with Raymond Lo, AI software evangelist at Intel, about the AI PC, the software that powers AI breakthroughs, and optimizing hardware and software in unison to improve generative AI performance.
Even LLMs need education—quality data makes LLMs overperform
If you’re building experimental GenAI features that haven’t proven their product market fit, you don’t want to commit to a model that runs up costs without a return on that investment.
Exploring the inclusive tech revolution
On this sponsored episode of the podcast, Ben and Ryan chat with Maya Sellon, inclusive design and digital accessibility principal at Shell, about how she’s scaling accessibility and inclusive design practice across an organization the size of Shell. They talk about how knowing the accessibility issues is half the battle, how people are the key to scale, and what video games teach us about inclusive design.
Inside Intuit's generative AI operating system, GenOS
In today’s episode of the podcast, sponsored by Intuit, Ben and Ryan talk with Shivang Shah, Chief Architect at Intuit Mailchimp, and Merrin Kurian, Principal Engineer and AI Platform Architect at Intuit. They discuss generative AI at Intuit, GenOS (the generative AI operating system that they built), and how GenAI can scale without sacrificing privacy.
From prompt attacks to data leaks, LLMs offer new capabilities and new threats
While there’s a lot of dangers out there, it’s not all doom and gloom; we also talk about how to mitigate these threats.
Bringing context to alerting and incident management
Ben and Ryan talk with Robert Ross, the CEO and co-founder of FireHydrant about the problem with alerting and incident management today, how holiday code freezes change incident management, and how Robert accidentally became a CEO.