For those not familiar with the MX series, you can read more about the different versions, including the mechanical one, here.
If you don't know about Cassidy's passion for keyboards, you can check out her website here or listen to a previous episode diving deep into the details of mechanical keyboards here.
Stayed tuned for episode #2, airing next week, when we'll be digging deeper into the science behind keyboards and coders with Prof. Thomas Fritz and Marcel Twohig Head of Design for the MX series.
ReleaseHub provides on-demand environments for development, staging, and production. Every developer knows that environments can be a bottleneck, so ReleaseHub’s mission is to empower developers to share their ideas with the world more quickly and easily, sidestepping what Tommy calls “the big bottlenecks in development.”
As CTO of TrueCar, Tommy was leading an effort to rebuild that company’s tech stack, but he needed an environment management platform, and nothing on the market fit his needs. The homegrown environment management system he developed with his cofounders would become ReleaseHub.
Today we’re shouting out the winner of an Inquisitive Badge: L-Samuels asked a well-received question on 30 separate days and maintained a positive question record.
What do companies want to gain through monitoring software—and what do they, and their employees, stand to lose? Read more.
In Deep Work: Rules for Focused Success in a Distracted World, Cal Newport makes the point that our world isn’t geared toward deep, focused, flow-state work; instead, it rewards the appearance of busyness. Workers who see their keystrokes or mouse movements tracked are likely to focus on those behaviors instead of their projects.
More than 50 countries are establishing rules to control their digital information and achieve data sovereignty. Read more.
Varun is the cofounder and CTO of AKASA, which develops purpose-built AI and automation solutions for the healthcare industry.
Building a physics simulator for a robot helicopter as a student at Stanford helped Varun connect his interests in physics, machine learning, and AI. Check out that project here. His instructor? Andrew Ng.
Along with Ng, Varun was lucky to connect with some brilliant AI folks during his time at Stanford, like Jeffrey Dean, Head of Google AI; Daphne Koller, cofounder of Coursera; and Sebastian Thrun, cofounder of Udacity.
When Varun earned his PhD in computer science and AI, Koller and Thrun served as his advisors. You can read their work here.
Learn why some companies are moving AI and ML data and models off the cloud and back on premises.
Oxide is a rack-scale server with tightly integrated hardware and software. Cofounder and Chief Product Officer Jessie Frazelle was an early core maintainer of Docker. You can find her on GitHub or LinkedIn.
It’s no secret that Instagram has made changes to its feed, emphasizing video content in an effort to compete with TikTok. Nor is it a secret that these changes have proved unpopular with creators, from Kylie Jenner to independent photographers and other artists. Just another reminder that these platforms are rarely for creators; they’re built to generate revenue.
What Amazon’s acquisition of iRobot (of Roomba fame) might mean.
Earthships are sustainable dwellings constructed from recycled and natural materials. Built for off-the-grid living, they use thermal and solar power, harvest rainwater, and often incorporate gardens to supplement food supply.
Born and raised in China, Liam arrived in the US to attend the University of California at Berkeley, where he studied human-computer interaction. After some initial “culture shock” at the differences between his education in China and the “open and innovative” Berkeley environment, Liam thrived. After graduating, he worked at LinkedIn before returning to China to found a startup called Zaihui, offering ecommerce SaaS solutions for retailers.
Liam describes the still-commonplace 9-9-6 schedule (working from nine in the morning until nine at night, six days a week) and the approach of assigning multiple teams to compete on different visions for the same product.
In Liam’s view, US and Chinese engineering teams take different approaches to work, work-life balance, innovation, and risk. US teams pursue “breakthrough innovations” that impress customers, while “hustling and hardworking” Chinese teams “want to move fast and break things” to copy what works and make it incrementally better.
What would a hybrid of these approaches look like? Liam’s new startup, Immersive, is combining teams from the US and China to find out.
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.
Heather is a General Partner at OSS Capital, which provides VC backing to seed-stage COSS (commercial open source) startups. Her law practice focuses on intellectual property and open-source licensing, and she serves on the IEEE-ISTO Board of Directors.
Connect with Heather on LinkedIn or explore her work on her website.
Spencer was one of the original creators of open-source, cross-platform image editing software GIMP (GNU Image Manipulation Program), authored while he was still in college. He went on to spend a decade at Google, plus two years as CTO of Viewfinder, later acquired by Square.
In 2014, he cofounded Cockroach Labs to back his creation CockroachDB, a cloud-native distributed SQL database.
Database sharding is essential for CockroachDB: “a critical part of how Cockroach achieves virtually everything,” says Spencer. Read up on how sharding a database can make it faster.
Like many engineers who find themselves in the C-suite, Spencer went from full-time programmer to full-time CEO. He says it’s been a “relatively gentle” evolution, but he can always go back.
