The Stack Overflow Podcast19 Nov 2019

How Would You React?

Part 1

The crew chats about how Paul and Sara made the transition from individual contributors to managers overseeing teams of engineers. Sara used to see this transition as a form of selling out, but has a new perspective after having made the shift. Paul admits he still doesn’t feel like a “CEO” and how he approaches his role as the co-founder who focuses on creating signal instead of operations. OF course, we argue about Bitcoin, and finally we examine the role luck plays in life, especially for The Rock.

Interview - Kent C Dodds

Kent admits that when he first tried programming, he just couldn’t understand strings, and decided the career path wasn’t for him. He ended up on a track that would have made him an accountant or business intelligence analyst. From that perch, however, he began to find ways to automate and improve his workflows. Not only did this help him stand out at work, it reawakened his interest in coding, which is now his full time career.

Part 2

Sara talks about the difference between writing code for software applications, and writing firmware, which she got into while helping to launch and run Jewelbots. Paul and Sara recall what it was like working in tech during the 90s, when they had to constantly worry about how to conserve RAM. We also talk about the days before Git, when folks passed a hard drive around from hand to hand. The kids today have no idea how good they have it.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(983)

AI, JD, and other letters of the law

Ryan chats with Kevin Frazier, director of the AI Innovation and Law program at the University of Texas School of Law, about the legal and social impacts of data centers, the realities of workforce di...

15 Sep 38min

AI cybersecurity is a cat and mouse game

Ryan chats with Sam Curry, CSO at Zscaler, about where human intelligence sits in the new security landscape with AI, why shifting security protections closer to applications helps limit probes for vu...

11 Sep 27min

Java’s age is its AI superpower

SPONSORED BY IBMRyan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java. They talk about why the long history of Java both makes for a stable language and...

9 Sep 35min

Scaling your money safely with AI

Episode notes: This episode with Paypal’s CTO Srini Venkatesan was recorded at the Ai4 conference. Listen to our other Ai4 conversation with Greg Jennings, VP of Engineering for AI Products at Anacond...

8 Sep 28min

How to build a secure-by-default AI coding agent

Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guar...

4 Sep 32min

The good ol’ days of building Java

Ryan sits down with Tim Lindholm, an early contributor to the Java language at Sun Microsystems, to chat about what it was like building one of the most popular programming languages ever at its incep...

1 Sep 30min

When you keep AI Lean, you keep AI correct

Ryan chats with Leo de Moura, Senior Principal Applied Scientist at AWS and the creator of the Lean language, about proving correctness in AI agents with the Lean language, how automated reasoning com...

28 Aug 25min

Inside LinkedIn's cognitive memory agent for agentic personalization

Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state...

25 Aug 32min