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.

Jaksot(892)

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 Syys 33min

Kotlin is more than just the Android house language

Kotlin is more than just the Android house language

Ryan welcomes Jeffrey van Gogh, Director of Engineering, Android Developer Experience, at Google and board member of the Kotlin Foundation. They discuss the evolution of the Kotlin language from JVM to multiplatform, how their governance board works with the community to stop breaking changes, and the intricacies of Kotlin’s multiplatform capabilities beyond just Android.Episode notes: The Kotlin Foundation’s mission is to protect, promote, and advance the development of the Kotlin programming language.Over half of respondents in this year’s Annual Developer Survey reported that they want to start using Kotlin in the next year. Connect with Jeffrey on LinkedIn or email him at jvg@google.com.Congrats to user BMac on winning a Populist badge for answering the question How to convert UPPERCASE text to Title Case using CSS.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

5 Syys 30min

Building AI for consumer applications isn’t all fun and games

Building AI for consumer applications isn’t all fun and games

Kylan Gibbs, CEO of Inworld, joins the show to discuss the technical challenges of creating interactive AI for virtual worlds and games, the significance of user experience, and the importance of accessibility and cost-efficiency in deploying AI models.Episode notes: Inworld provides solutions for AI applications that allow teams to build and deploy workloads, spend less time on maintenance, and accelerate iteration speed.Connect with Kylan on LinkedIn.Today we’re shouting out the winner of an Illuminator badge, user MrWhite, who edited and answered 500 questions, both actions within 12 hours.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

2 Syys 29min

Open-source is for the people, by the people

Open-source is for the people, by the people

Travis Oliphant, creator of NumPy and SciPy, joins Ryan to explore the development of Python as a data science tool, the evolution of these foundational libraries, and the importance of community and collaboration in open-source projects, including Travis’ current work to support sustainable open-source through the OpenTeams Incubator. Episode notes: NumPy and SciPy are the fundamental packages and algorithms for scientific computing with Python. NumPy 2.3.0 and SciPy 1.16.0 are out now. The OpenTeams Incubator helps start, grow, and sustain open-source software communities.Quansight is a data, science, and engineering firm rooted in the work of the Python Data, Science, and AI/ML open-source communities.Connect with Travis on LinkedIn or email him at travis@OTincubator.comToday we’re shouting out user RobinFrcd for answering pytest-asyncio has a closed event loop, but only when running all tests and winning a Populist badge.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

29 Elo 38min

From punch cards to prompts: a history of how software got better

From punch cards to prompts: a history of how software got better

SPONSORED BY AWSRyan welcomes Darko Mesaroš, Principal Developer Advocate at AWS and all around computer history buff, to chat about history of software development improvements and how they made developers made more productive. They discuss the technologies and breakthroughs that created greater abstractions on the underlying bit manipulations and made software development more powerful. Episode notes:If you’re looking to take advantage of the breakthroughs mentioned in this episode, check out AWS Builder Center, a place for you to learn, build, and connect with builders in the AWS community.If you want to connect with Darko, find him on social media including LinkedIn. Congrats to Lundin for being curious and asking about Implicit type promotion rules.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

27 Elo 34min

Svelte was built on “slinging code for the sheer love of it”

Svelte was built on “slinging code for the sheer love of it”

Rich Harris, creator of Svelte and software engineer at Vercel, joins Ryan on the show to dive into the evolution and future of web frameworks. They discuss the birth and growth of Svelte during the rise of mobile, the challenges of building robust and efficient web applications, how companies can back more open-source community projects, and the dirty little secret about asynchronous operations and component frameworks. Episode notes:Svelte is a UI framework that uses a compiler to let you write components using HTML, CSS and JavaScript. It’s ranked as one of developer’s most admired web frameworks in this year’s Developer Survey. Keep up with the Svelte community on the Svelte Society page. Find Rich on Blue Sky and GitHub.Congrats to Paul Pladijs, who won a Populist badge for answering the question How can one change the timestamp of an old commit in Git?.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

26 Elo 35min

Learning in the flow: Unlocking employee potential through continuous learning

Learning in the flow: Unlocking employee potential through continuous learning

In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar and Christina Dacauaziliqua, Senior Learning Specialist at Morgan Stanley, talk about the importance of experiential learning in fast-paced environments. They emphasize the value of creating intentional learning environments where innovative tools meet collaborative communities to support growth for both individuals and organizations. The discussion also:Explores why leaders need to model continuous learning to inspire their teams.Explains three practical principles to embed a culture of ongoing learning into everyday operations successfully.Touches on Morgan Stanley's multi-year strategic initiatives centred on talent excellence and how they empower employees through an intentional learning framework and metric tracking. Notes:Connect with Christina Dacauaziliqua and Prashanth Chandrasekar.Learn how to empower learning within your organization with Stack Overflow for Teams.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

22 Elo 33min

Robots in the skies (and they use Transformer models)

Robots in the skies (and they use Transformer models)

Ryan welcomes Nathan Michael, CTO at Shield AI, to discuss what AI looks like in defense technologies, both technically and ethically. They cover how the Hivemind technology works in coordinating the autonomous decisions of drones in the field while keeping humans in the loop, whether Shield AI is building Terminators, and how software security works on an edge device that could fall into enemy hands. Episode notes:Shield AI produces Hivemind, a resilient autonomy platform intended to protect service members and civilians.Congrats to Great Answer badge winner tmdavison for dropping a 100 point plus answer on Set max value for color bar on seaborn heatmap.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

22 Elo 26min

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