The last technical interview you'll ever take

The last technical interview you'll ever take

Since the day a hiring manager first wheeled a whiteboard into a conference room, software engineers have dreaded the technical interview, which can be an all-day process (or multi-day homework assignment). If you’re interviewing for multiple roles, you can expect to write out a bubble sort in pseudocode for each one. These technical interviews do no favors for hiring companies, either, because the investment needed from both parties limits the number of candidates a company can consider. In this age of data-driven decisions, perhaps there’s a way that AI and ML can help candidates and companies find each other.

On this episode of the podcast, sponsored by Turing AI, we chat with Chief Revenue Officer Prakash Gupta about building a better hiring process with AI. Turing helps companies scale their engineering programs quickly with remote developers from around the world. We talk about how to vet a profession without standard markers, the benefits of soft skills, and how AI-assisted hiring helps everyone involved.

While companies have been outsourcing development for years, COVID made the software industry almost entirely remote. Suddenly, every company has the ability to hire the best developers regardless of location. And good developers can find work at companies of all sizes without packing up and settling in Silicon Valley.

But when any company could conceivably interview any candidate, how do you vet candidates at scale? There is no standardized board certification for software engineers, after all. Every interviewer has to vet the candidates themselves, and that’s where human biases come in.

On one side, you have Fortune 500 companies developing complex systems and undergoing digital transformation projects, plus startups looking to scale their engineering organizations as their product finds market fit. On the other, you have a new generation of engineers trained on bootcamps and online resources who may not have opportunities where they live. That’s where Turing comes in, matching 1.7 million engineers from over 140 countries with jobs at hundreds of companies.

Turing strives to mitigate bias by collecting hundreds of signals about candidates over a four- to six-hour process. This process covers projects candidates have worked on, technology aptitude, and soft skills through 30-minute tests, candidates’ online presence in places like GitHub and Stack Overflow, and qualitative assessments refined over two years of feedback loops.

A process that once consisted of ten interviews can now drop to two or three at the most. Some Turing customers have eliminated interviews altogether, relying on Turing’s AI-powered solutions to surface and evaluate the best candidates. To see how Turing can streamline your interview process, either as a candidate or a company, check out turing.com today.

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

Episoder(891)

As your AI gets smarter, so must your API

As your AI gets smarter, so must your API

Ryan sits down with Marco Palladino, CTO of Kong, to talk about the rise of AI agents and their impact on API consumption, the MCP protocol as a new standard for agents, the importance of observability and security in AI systems, and the importance for businesses and entrepreneurs to leverage opportunities in the agentic AI space now. Episode notes: Kong is an all-in-one API platform for AI and agentic workflows.Marco previously joined the podcast in 2024. Connect with Marco on Twitter.Congratulations to user Mark for receiving a Lifeboat badge for their answer to Visual Studio Code: Expand the horizontal bar for scrolling tabs.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

30 Sep 28min

Getting Backstage in front of a shifting dev experience

Getting Backstage in front of a shifting dev experience

Ryan welcomes Pia Nilsson, GM for Backstage and head of developer experience at Spotify, to discuss the evolution and adoption of Backstage, the impact of AI on dev experience, and how Spotify approaches platform engineering and standardization to help teams solve for specific needs. Episode notes: Backstage is an open-source IDP by Spotify that reduces everyday friction, cognitive overhead, and operational toil for developers.We previously talked to the Backstage team in 2022.Poor Ryan. If only he had Backstage at his last job. You know what makes Backstage even better? Our Stack Overflow for Teams integration. Connect with Pia on LinkedIn.Markus Pscheidt gets today’s shoutout for winning the Populist badge with their answer to Dynamic tag values for the Counter metric in Micrometer.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

26 Sep 26min

Democratizing your data access with AI agents

Democratizing your data access with AI agents

Jeff Hollan, director of product at Snowflake, joins Ryan to discuss the role that data plays in making AI and AI agents better. Along the way, they discuss how a database leads to an AI platform, Snowflake’s new data marketplace, and the role data will play in AI agents. Episode notes:Snowflake provides a fully-managed data platform that developers can build AI apps on. We’re happy to have Stack Exchange data available on the Snowflake Marketplace. Connect with Jeff on LinkedIn and Twitter. Congrats to Timeless for throwing a Lifejacket to Using pandas to read HTML.TRANSCRIPTSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

23 Sep 29min

Off with your CMS’s head! Composability and security in headless CMS

Off with your CMS’s head! Composability and security in headless CMS

Ryan welcomes Sebastian Gierlinger, VP of Engineering at Storyblok, to talk about how headless content management systems (CMS) fit into an increasingly componentized software landscape. They run through the differences between headless and traditional CMS systems (and databases), prototyping and security concerns, and how a team building distributed systems can get that precious velocity by decoupling their content from its rendering. Episode notes:Storyblok provides a headless CMS they say is made for humans but built for the AI-driven era. Want to learn more about CMS design? Check out other pieces we’ve done with CMS providers Drupal and Builder.io. Connect with Sebastian on LinkedIn or Twitter. Congrats to Populist badge winner Răzvan Flavius Panda for dropping an amazing answer on How do I change the maintenance database for Postgres?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

19 Sep 23min

What an MCP implementation looks like at a CRM company

What an MCP implementation looks like at a CRM company

Ryan chats with  Karen Ng, EVP of Product at HubSpot, to chat about Model Context Protocol (MCP) and how they implemented it for their server for their CRM product. They chat the emergence of this as the standard for agentic interactions, the challenges of implementing the server and integrating it with their ecosystem, and how agentic AI has affected work at Hubspot. Episode notes:Hubspot is a customer-relationship management (CRM) platform that aims to help businesses grow. MCP is an open-source protocol for connecting AI agents to external systems, originally developers at Anthropic. Connect with Karen on LinkedIn. Virtual hi-five to Rob Truxal for asking What is the purpose of "pip install --user ..."? and garnering themselves a Stellar Question badge. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

16 Sep 24min

Planning to Arm mobile devices with chips that handle AI

Planning to Arm mobile devices with chips that handle AI

Ryan welcomes Geraint North, AI and developer platforms fellow at Arm, to dive into the impact of GenAI on chip design, Arm’s approach to designing flexible CPU architectures, and the challenges of optimizing large language models at the chip level for edge devices. Episode notes: Arm is a global compute platform that allows the world’s leading technology companies to innovate and deliver AI experiences.Arm just announced their Lumex CSS Platform, which provides a complete compute subsystem platform for mobile and desktop providers to enable efficient AI workloads. Connect with Geraint on LinkedIn.Congrats to Lifejacket badge winner I.sh., who won the badge for answering How to take screenshot on failure.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

12 Sep 32min

How AI is reshaping developer teams and the future of software development

How AI is reshaping developer teams and the future of software development

In this two-part episode of Leaders of Code, Peter O’Connor, Director of Platform Engineering, welcomes Ryan J. Salva, Senior Director of Product at Google, Developer Experiences, for a deep dive into the future of software development. They explore how AI-assisted tools are reshaping the developer experience, going far beyond just writing code. From breaking down deployment bottlenecks to streamlining operations and transforming how teams collaborate, this conversation unpacks where developer tooling is headed and how AI is changing the game at every stage of the software lifecycle.The discussion also:Addresses how AI is transforming team structures, enabling engineering teams to operate effectively with just a few people, reducing collaboration overhead and accelerating decision-making.Highlights the future of platform engineering and DevOps, where AI will assist with standardization and dynamically create and manage deployment pipelines in real time.Episode notes:Connect with Peter O’Connor and Ryan J Salva.Check out Google’s open source repository, Gemini-CLI, on GitHub.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

11 Sep 31min

We built stackoverflow.ai with the community and for the community

We built stackoverflow.ai with the community and for the community

Ryan is joined by our very own Ash Zade, Product Manager, and Alex Warren, Staff Software Engineer, to discuss our newly released stackoverflow.ai, how it’s enhancing user experience by combining human-validated answers with AI, and our future plans for deeper personalization and community integration. Episode notes: stackoverflow.ai is helping you get the technical answers you need with less friction, all powered by our 16 years of community knowledge.Connect with Ash on LinkedIn.Connect with Alex on LinkedIn.This week we’re shouting out user Ketan Ramani for winning a Populist badge for their answer to How to go about formatting 1200 to 1.2k in Android studio.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

9 Sep 33min

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