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.

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“AI has been the wild west”: Creating standards for agents with Sean Falconer

“AI has been the wild west”: Creating standards for agents with Sean Falconer

Confluent is an all-in-one, real-time platform that allows you to stream, connect, process, and govern your data.Connect with Sean on Linkedin, and listen to the Software Engineering Daily podcast, where he co-hosts.Do you know the answer to Loadrunner lr_get_attrib_string always returns null? If so, you can help out Trncvs and receive the bounty offered on the question.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

22 Juli 31min

How to do your job happier

How to do your job happier

Read more findings from the Developer Success Lab here. Find John at his website and connect with him on LinkedIn.Congrats to user Matthieu M. who won a Populist badge for answering the question struct with 2 cells vs std::pair?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

18 Juli 22min

Where we’re going, we don’t need fossil fuels

Where we’re going, we don’t need fossil fuels

Realta Fusion is making fusion real and tackling today’s clean energy issues with innovative technology. Follow them on LinkedIn.Connect with Kieran on LinkedIn. Shoutout to Lifeboat badge winner zathura, who was awarded the badge for answering Type of triangle in MySQL.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

15 Juli 37min

How your favorite movie is changing language learning technology

How your favorite movie is changing language learning technology

Koel Labs uses classic movies to help learners master pronunciation. You can join the waitlist for their closed beta launch now. Check out their open-source community project for Koel Labs on GitHub.Check out their project on the Mozilla Builders site. Connect with Aruna on LinkedIn. Connect with Ruslan on LinkedIn.Shoutout to Populous badge winner Tomáš Záluský, who won the badge for answering the question How to chain multiple assertThat statement in AssertJ.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

11 Juli 23min

There is no golden path anymore: Engineering practices are being rewritten

There is no golden path anymore: Engineering practices are being rewritten

In this episode of Leaders of Code, Ben Matthews, Senior Director of Engineering at Stack Overflow, and Loïc Houssier, CTO at Superhuman, dive into how engineering teams can navigate paradigm shifts in a world of constant technological change. They discuss the importance of leadership in an ever-shifting industry and highlight the concept of aligned autonomy as a way to empower teams and increase organizational velocity.The conversation also covers: The impact of AI on workflows and practices across the entire organization at Superhuman, including improving onboarding, helping employees streamline their work, and enabling teams to tackle projects that were previously put on hold. The strategic use of qualitative and quantitative engineering performance metrics to measure and improve team effectiveness. Episode notes: Connect with Loïc Houssier on LinkedIn. Learn more about Superhuman, the leading AI-native email app for high-performing teams. Connect with Ben Matthews on LinkedIn or Bluesky. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

10 Juli 36min

Attention isn’t all we need; we need ownership too

Attention isn’t all we need; we need ownership too

NEAR is the blockchain for AI, enabling AI agents to transact freely across networks.Connect with Illia on LinkedIn and X, and read the original Transformers paper that Illia co-authored in 2017.Today’s shoutout goes to Populous badge winner Adi Lester for answering the question DataTable - foreach Row, EXCEPT FIRST ONE.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

8 Juli 36min

Why call one API when you can use GraphQL to call them all?

Why call one API when you can use GraphQL to call them all?

Apollo GraphQL lets you orchestrate APIs with a composable, declarative, self-service model. Apollo's MCP Server is now available.Connect with Matt on LinkedIn.Today we’re shouting out a Famous Question badge winner, user jkfe, for their question How to hide/show thymeleaf fields based on controller condition?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

4 Juli 25min

Programming problems that seem easy, but aren't, featuring Jon Skeet

Programming problems that seem easy, but aren't, featuring Jon Skeet

Jon Skeet, for those not in the know, is legendary here at Stack Overflow. He even got his own Chuck Norris Facts-style jokes. Jon has graced the podcast before in the early days on episodes 4, 72, and 123.He’s so good at answering Stack Overflow questions that he appeared at Stack Overflow’s old NYC office and answered them in person. While he’s not the only million rep user, he was the first, so we ran the numbers on him. Have a question? Jon Skeet has probably answered it on Stack Overflow. You can also find him on Blue Sky.Looking for C# 3.5? Spoiler alert: you won’t find it. Learn why from Jon’s very helpful question What are the correct version numbers for C#?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

1 Juli 32min

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