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?
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Ryan Donovan
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.
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.
In Rust we trust? White House Office urges memory safety
Is your preferred programming language a matter of national security?
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.
Can a programming language implement time travel?
Computer science deals with concurrency, but what about simultaneity?
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.
How to scale a business-ready AI platform with watsonx: Q&A with IBM
We chat with IBM about how their watsonx platform makes generative AI more than just a fun toy.
Build vs. buy doesn't matter. Tool adoption does.
Ben and Ryan talk to Rob Skillington, CTO and co-founder of Chronosphere. They talk about how build vs. buy is a false choice, lessons learned from building developer tooling at Uber, and why building developer tools needs more than technical skills.
AI is only as good as the data: Q&A with Satish Jayanthi of Coalesce
AI systems obey the golden rule: garbage in, garbage out, Want good results, feed it good data.
Composable architecture
On this episode Ryan and Stack Overflow Director of Brand Design David Longworth chat with Matt Biilmann, CEO and co-founder of Netlify, about composable architecture, how making it easier to code will create more developers, and why the future of the front end is portability.
Is AI enough to increase your productivity?
Being an effective coder with a code generation tool still requires you to be an effective coder without one.
How an algo raver stays in key(boards)
From studying music to coding it.
No surprises on any system: Q&A with Loris Cro of Zig
When all the other languages go one way, time to change direction.
Being creative with math: The immersive artist who traded a sketchpad for a keyboard
On this sponsored episode, Ben, Cassidy, and Ryan are joined by Luyang Zou, who is a creative coder, artist, architect, and Ambassador for today’s sponsor, Logitech. They chat about the amazing immersive spaces he creates with a keyboard and mouse, the process (and Processing), and the software and hardware he uses.