Technology Commentary

In early 2024, I hit ten years at Allegro, which also happens to be how long I’ve been working with microservices. This timespan also roughly corresponds to how long the company as a whole has been using them, so I think it’s a good time to outline the story of project Rubicon: a very ambitious gamble which completely changed how we work and what our software is like. The idea probably seemed rather extreme at the time, yet I am certain that without this change, Allegro would not be where it is today, or perhaps would not be there at all.

Consider this scenario (this may or may not have happened to me 👀) - You check out a tag to do a prod release. The release is done and all looks good on prod. Now, you start working on a bug fix that’s been bothering your team for a while.

In this article, we'll delve into the nuances of data privacy in API integrations, exploring the fundamental concepts.

The strangest hardware problem I've ever had to debug.

Programmer Jon Olson talks about the AI assistant he developed to show off his resume as a job-hunting dev.

Microsegmentation uses Kubernetes network policies to tailor security measures to specific organizational needs and compliance requirements.

Language models often need more exposure to fruitful mistakes during training, hindering their ability to anticipate consequences beyond the next token. LMs must improve their capacity for complex decision-making, planning, and reasoning. Transformer-based models struggle with planning due to error snowballing and difficulty in lookahead tasks. While some efforts have integrated symbolic search algorithms to address these issues, they merely supplement language models during inference. Yet, enabling language models to search for training could facilitate self-improvement, fostering more adaptable strategies to tackle challenges like error compounding and look-ahead tasks. Researchers from Stanford University, MIT, and Harvey Mudd have devised a

By Benoit Rostykus, Gabriel Hartmann

In this post I’ll describe my favorite mesh data structure called half-edge data structure. It’s used primarily in Mesh/CAD applications and helps to make various advanced operations on the mesh su…

In my last post I talked about why modern observability has become so expensive. At the end of the post I posit a question: What if by default we never send any telemetry at all? In this post I’m goin

X509Crypt Software Development, API development, Indutrial IOT

What happens when a news site launches that basically ignores the SEO orthodoxy? Easy: They do fascinating stuff. Hence, Robinhood’s Sherwood.

Forgive the lengthy quotes in this post. These are from a podcast, and people are more verbose when speaking than when writing. I've chosen not to edit them down to make sure you get the full answer. I was listening to The Vergecast this week and a caller sent in

From punk rock to adult contemporary. (And back again?)

Decades after some predicted its demise, the mainframe is as vital as ever, even in the era of AI.

When Ethernet was originally envisioned, it would use a common, shared medium (the ‘Ether’ part), with transmitting and collision resolution handled by the carrier sense multiple access…

GitHub Copilot increases efficiency for our engineers by allowing us to automate repetitive tasks, stay focused, and more.

Adam Osborne was the master of momentum—until it all came crashing down

How Ed Roberts created the personal computer industry—and then walked away

The untold story of Lore Harp McGovern

Put simply, if data access is slowing down your application, the only solution is a faster database, not a cache.

Knowing Machines is a research project tracing the histories, practices, and politics of how machine learning systems are trained to interpret the world.

Do you really need that cloud hosting package? If you’re just running a website — no matter whether large or very large — you probably don’t and should settle for basic host…

How to read what multiple people mean by the word openness and see through the PR speak.

We will begin labeling a wider range of video, audio and image content as "Made with AI" when we detect industry standard AI image indicators or when people disclose that they’re uploading AI-generated content.