Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler
Engineering at Metaby Blaise Sanouillet; Sunyi Shao; Jeff Song; Gosh Arzumanyan; Shawn Wu; Tejun Heo; Praveen Sampath; GP Musumeci·13 Jul 2026
TL; DR - At Meta’s scale, a few milliseconds of latency degradation can have a significant negative impact on ads performance.
Extreme Event Likelihoods with Guided Generative Models | NVIDIA Technical Blog
Nvidia Developer Blogby Elizabeth Goodman·13 Jul 2026
Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events.
Fragments: July 13
Martin Fowlerby Martin Fowler (martin@martinfowler.com)·13 Jul 2026
Fragments: July 13 Some more of my notes from Thoughtworks Future of Software Development Retreat. When we had our first retreat in Utah early this year, nobody had heard of Harness Engineering.
Upskill and Earn: The Proven Path to $150/hr From Home - Side Hustle Nation
Side Hustle Nationby Nick Loper·13 Jul 2026
Here’s a proven path to $150 an hour, right from home. Maybe you’ve got a good job you like. But when you look ahead, the salary ceiling feels capped, the red tape runs deep, and the chances to...
New method aims to keep kids safe from illegal AI-generated content
MIT Newsby Adam Zewe | MIT News·13 Jul 2026
With the exploding popularity of generative artificial intelligence, many open-source models are now available online for anyone to adapt for their task, such as generating product renderings in a...
How Digital Systems Are Excluding Adivasi Women from Maternity Entitlements in Andhra
Behanboxby Karthik Reddy Panditi·13 Jul 2026
How Digital Systems Are Excluding Adivasi Women from Maternity Entitlements in Andhra India’s flagship maternity programme now banks on a robust digital chain, efficient apps and stable internet –...
Bad Code Is Often a Leadership Problem
Sink In - Tech Learningsby Apal Shah·12 Jul 2026
Let’s say you join a company as the new CTO. On day one, you open the codebase. And it is bad. 😐 Not “we should improve this slowly” bad. Proper bad. - There are no useful tests.
How to Evaluate General-Purpose Robot Policies for Real-World Deployment | NVIDIA Technical Blog
Nvidia Developer Blogby Brad Nemire·12 Jul 2026
Robotics foundation models have made remarkable progress. Today’s best systems can follow natural language instructions to pick, place, sort, and manipulate a wide variety of objects.
Make no assumptions.
Irrational Exuberance·11 Jul 2026
I’ve recently been thinking a lot about the concept of “soil horizons”, which is the idea that there are many distinct layers of soil, from topsoil all the way down to bedrock, which all combine...
The 5 Dimensions of Site-Specific AI Chatbots
NN/g latest articles and announcementsby Georgia Kenderova, Tanner Kohler·10 Jul 2026
Designing a site-specific AI chatbot requires making key decisions even before user testing begins.
Better tools made Copilot code review worse. Here's how we actually improved it.
Engineering - The GitHub Blogby Napalys Klicius·10 Jul 2026
Give an agent better tools and it should do better work. That’s the instinct, anyway. When you open a pull request, Copilot code review reads the diff and explores the surrounding code to find the...
bunrun: A Simple Launcher with AI-Assisted Setup
Code and Life·10 Jul 2026
Vibe coding has left me with quite a few small development apps. Starting any one of them is easy, but first I need to remember where it lives, whether it uses Bun, npm, uv or something else, and...
Scaling Grab's Data Lake: Our journey to Apache Iceberg adoption
Grab Techby Rahul Penti·10 Jul 2026
Introduction: The evolution of Grab’s Data Lake At Grab’s scale, managing petabytes of data across billions of S3 objects demands more than a storage layer.
LiteRT.js, Google's high performance Web AI Inference
Google Developers Blogby Ping Yu; Marko Ristić; Matthew Soulanille; Chintan Parikh·9 Jul 2026
We are excited to announce LiteRT.js, a JavaScript binding of LiteRT for running AI directly inside the web browser.
The triage is the product: running AI agents against Ethereum's protocol code | Ethereum Foundation Blog
Ethereum Foundation Blogby Nikos Baxevanis·9 Jul 2026
Notes from the Ethereum Foundation's Protocol Security team on running coordinated AI agents against real protocol code, including how we organize the work, what holds up under scrutiny, and what...
Automating cross-repo documentation with GitHub Agentic Workflows
Engineering - The GitHub Blogby David Pine·8 Jul 2026
Senior Software Engineer, Building aspire.dev at Microsoft “Where are the docs?” It’s a question nobody on a product team enjoys answering.
Evolving how LLMs are measured for Android: the next era of Android Bench
Android Developers Blogby Android Developers (noreply@blogger.com)·8 Jul 2026
08 July 2026 Back in March, we introduced Android Bench—our LLM leaderboard for real-world Android development tasks.
Felons, Fraudsters Flog Offensive Cybersecurity Startup
Krebs on Securityby BrianKrebs·8 Jul 2026
A cybersecurity startup dangling millions of dollars to acquire zero-day security vulnerabilities in popular software is run by a pair of far-right conspiracy theorists and convicted felons whose...
Experiences with local models for coding
Martin Fowlerby Martin Fowler (martin@martinfowler.com)·8 Jul 2026
Experiences with local models for coding This is the second memo where I describe my recent experiences on running small models locally on my developer machine for agentic coding.
We Didn't Teach Our Designers AI: We Built a Place Where They Could Learn It Together • Slack Design
Slack Designby andyacevedo·8 Jul 2026
The Question We Kept Hearing “How do I use AI?” That question, typed in a DM rather than asked out loud, told us everything. Our design team was not short on curiosity.
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