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The most popular blog posts about software engineering on Hacker News. 7,294 posts.
We’re introducing calendar-based versioning for our REST API, so we can keep evolving our API, whilst still giving integrators a smooth migration path and plenty of time to update their integrations.
Discover the gains and costs of GCC’s enhanced runtime buffer overflow protection. Level 3 _FORTIFY_SOURCE preprocessor macro may detect more buffer overflows, but there’s a cost.
Forking pg_query.rs to replace Protobuf with bindgen-generated direct C-to-Rust struct mappings, yielding 5x faster query parsing and 10x faster deparsing in PgDog.
Heap is the only digital insights platform that shows everything users do on your site, revealing the "unknown unknowns" that stay invisible with other tools.
Access technologies from partnerships with the community and leaders. Everything open source at Intel. We have a lot to share and a lot to learn.
Studio Terabyte is a full stack web development studio who finds and builds solutions that fit your project
Take an in-depth look at the MIR lightweight JIT compiler project's goals and state of development, such as the addition of support for CRuby.
How we built a new Go ScyllaDB driver that’s almost 4x faster than its GoCQL predecessor and 2X faster than its Rust counterpart.
GitHub’s supply chain security features are now available for Go modules, which will help the Go community discover, report & prevent vulnerabilities.
Patterns that keep AI agent systems from falling apart in production: two-tier architecture, stateless design, orchestration, and lessons from UserJot.
Announcing F# 4.1 and the Visual F# Tools for Visual Studio 2017 Last year, we announced F# 4.1 via a Peek in F# 4.1. As a recap, we mentioned: Alpha support for .NET Core and .NET Standard Language features for F# 4.1 A big update to the Visual F# tools for Visual Studio 2017 (called […]
Ruby’s garbage collector is designed to be adaptable, scaling from short Ruby scripts to running apps that serve millions of requests per second. While it’s designed to be adaptable, it may not work optimally for every use case. For this reason, Ruby’s garbage collector supports many parameters that can be used to…
Create a WhatsApp chatbot using Python & Flask with Twilio's API. Follow our step-by-step guide to build, deploy, & enhance your chatbot. Start building with Twilio.
Hey, folks! Today we want to talk about the wonderful read-eval-print-loop (REPL) . Thanks to WebAssembly (Wasm), it's becoming increasingly common for programming language websites to embed a REPL in which passersby can easily evaluate code and get a feel for the language without having to install anything on their…
Perl hackers have now, as of today the 16th August 2015, been uploading Perl modules onto CPAN via PAUSE for 20 years. Andreas König, who did that first upload, is still releasing to CPAN, and as I write this his most recent upload is the same module that was first released to CPAN.
Hey guys, today we have a surprise for you. We’re releasing the source code for Serious Engine v1.10! It’s the very same engine that we used for Serious Sam Classic: The First Encounter and The Second Encounter. This month we’ll be celebrating Serious Sam’s 15th anniversary and we’re all feeling very nostalgic…
Yesterday, Google open sourced their Tensorflow-based dependency parsing library, SyntaxNet. The library gives access to a line of neural network parsing models published by Google researchers over the last two years. I've been following this work closely since it was published, and have been looking forward to the…
A few weeks ago I (=Carl Friedrich Bolz-Tereick) gave a keynote at ICOOOLPS in Amsterdam with the above title. I was very happy to have bee...
Model training has grown complex enough to require many specialised stages and teams, and manual coordination between them doesn’t scale. At Aleph Alpha, we’ve built Savanna, a model factory that implements the entire training pipeline in code.
MIT CSAIL researchers introduce FeatUp, a model-agnostic framework designed to significantly enhance the spatial resolution of deep learning features for improved performance in computer vision tasks such as semantic segmentation, depth prediction, and object detection.
I recently wrote about some work I’ve done to speed up the Rust compiler . Since then I’ve done some more.
