featured in #477
The Largest Money-Printing UI Element Ever Made
- Jim Nelson tl;dr: "The largest source of money flowing into the world of programming languages comes from Google paying to be the default search engine... Google took in $283bn in revenue in one year. Of that, $49bn went towards “traffic acquisition costs” which includes Google paying other browsers for the preference of being the default search engine."featured in #473
Tech Predictions For 2024 And Beyond
- Werner Vogels tl;dr: From the CTO at Amazon: (1) Generative AI becomes culturally aware with LLMs trained on culturally diverse data. This cultural fluency promises to make generative AI more accessible to users worldwide. (2) FemTech finally takes off and an abundance of data unlocks improved diagnoses and patient outcomes. (3) AI assistants redefine developer productivity turning into teachers and collaborators that provide support throughout the software development lifecycle. (4) Industry-led skills-based training programs will emerge that more closely resemble the journeys of skilled tradespeople.featured in #469
The Rise And Fall Of Spot Instance Pricing In 2023
- Phil Andrews tl;dr: Dive into our latest deep-dive on spot instance pricing trends over the past year. Azure's prices skyrocketed by 108%, while GCP surprised everyone with a 26% drop. AWS? Somewhere in between. Discover the regions and instance types that saw the most dramatic shifts and learn how our game-changing "scheduled rebalancing" tool can save you big bucks in this ever-evolving cloud pricing arena. Don't miss out on these crucial insights – perfect for refining your cloud strategy.featured in #456
featured in #428
Self-Healing Code Is The Future Of Software Development
- Ben Popper tl;dr: The article discusses the concept of self-healing code and its potential impact on software development, highlighting the use of generative AI models in automating the creation, maintenance, and improvement of code. While the field is still developing, a guided, auto-regressive approach can lead to better outcomes.featured in #425
An Explosion In Software Engineers Using AI Coding Tools?
- Gergely Orosz tl;dr: What do AI coding tools help the most with? The survey lists the top areas mentioned by developers: (1) Learn: develop coding language skills (57%). (2) Productivity: become more productive (53%). (3) Focus: spend more time building and creating, less on repetitive tasks (51%). Gergely dives how engineers are leveraging AI tools.featured in #423
OpenAI’s Moat Is Stronger Than You Think
- Ravi Parikh tl;dr: Ravi Parikh, CEO of Airplane, discusses his perspectives on why he thinks OpenAI will have a durable moat and why the usage of general-purpose AI models will be mostly limited to a few large companies in the future.featured in #420
Is There A Drop In Software Engineer Job Openings, Globally?
- Gergely Orosz tl;dr: Gergely analyzes data points from Indeed and Hacker News to conclude the following: (1) There was a peak in software developer positions posted between mid-2021 and mid-2022. (2) The US, Canada and UK are currently seeing some of the lowest numbers of developer job listings since Feb 2020. (3) Germany, France and Australia still have significantly more jobs than in February 2020.featured in #400
Software And Its Discontents, Part 1
- Kellan Elliot-McCrea tl;dr: Kellan tries to answer a simple question: “where is the frustration and disillusionment, so prevalent currently in the software industry, coming from?” He covers 4 key trends in the last decade: (1) An explosion in the complexity of software development. (2) Talent become significantly more expensive. (3) Success become more elusive than ever, with startups having “lost that magic feeling.” (4) Conflicts over changing expectations of the work environment.featured in #393