cartero Monday, August 10, 2026 · No. 25855
Developer Tools

Rust terminal UI library

submitted by /u/aymanana [link] [comments]

Machine Learning and AI

Building the enterprise environment for agentic AI

For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the ability to predictably plan and scale agents. To better understand some of these dependencies, Intel performed thousands of agent

Blockchain

Best Crypto Payments Gateways in 2026

Compare the best crypto payment gateways in 2026. Review fees, speed, stablecoin support, mass payouts, and compliance for NOWPayments, CoinGate, BitPay, and more. Continue reading Best Crypto Payments Gateways in 2026 on SitePoint.

Machine Learning and AI

Analyzing Middle School Students' Dialogue and Behaviors during Collaborative AI Chatbot Development Using Ordered Network Analysis

arXiv:2607.21603v1 Announce Type: new Abstract: As Artificial Intelligence (AI) education has become a key component of K-12 curricula, activities such as designing and developing conversational agents are increasingly used as instructional practice. Prior work has primarily examined these activities by focusing on students' learning outcomes or the quality of final AI artifacts, offering limited insight into the collaborative processes through which learning unfolds during AI system developmen

Machine Learning and AI

Natural Language Processing in Health Professions Education: A Scoping Review

arXiv:2607.21605v1 Announce Type: new Abstract: Natural language processing (NLP) and artificial intelligence (AI) are rapidly transforming health professions education, yet no scoping review has systematically mapped their applications across the full spectrum of health education contexts, including public health. Following the Arksey and O'Malley framework and PRISMA-ScR guidelines, this review synthesized evidence from 64 studies published between 2015 and 2026, identified through searches o

Developer Tools

Rust language example for all major GUI devices Rust supports, testing open source please?

Might leave out no_std targets, but other than that, if it has a GUI, try to make all the tools to have a good GUI on it, including software keyboard. So far my plans are egui+wgpu on top of the backends. For backends, winit, SDL3 (because odd Apple targets), OpenVR (Valve VR software keyboards, only way), Linux direct rendering manager+evdev (Linux mobile, might skip this), OpenXR+software keyboard callers and inputs, and possibly webXR, but wgpu may need to be replaced there. Naturally this sh

Machine Learning and AI

Burnout 2026

No, this post is not about a Burnout game. It’s about generative AI. Well, not strictly gen-AI, but Large Language Models. Well, not necessarily LLMs, but internet buzz around both of them. At first, I wanted to write a post on my thoughts about LLMs, constant deem of disclosure1, and how it affected me in the past year or so. After trying to write that post for like three times and being unsatisfied with it, I decided to write this instead: I’m tired. LLMs entered our lives like a storm an

Hardware

NVIDIA Harnesses Vera CPU to Speed Up Design of Next-Generation CPUs and GPUs

The complexity of modern chip design continues to grow as engineering teams work to develop increasingly sophisticated CPUs, GPUs and AI systems. To help meet that challenge, NVIDIA is collaborating with industry leaders Cadence and Synopsys to optimize critical electronic design automation (EDA) applications for the NVIDIA Vera CPU. NVIDIA is now deploying Vera across EDA workflows used to develop its next generation of CPUs and GPUs, demonstrating how high-performance CPU architecture can help

Rust

What are the best human written Rust codebases to learn from?

I’m looking for high quality Rust codebases that are genuinely worth studying and taking inspiration from like projects with clean idiomatic Rust and good architecture and preferably started before the LLM boom and have a long history of being developed by experienced Rust engineers most of what I came across was repositories filled with recently generated AI slop. submitted by /u/alihilal94 [link] [comments]

Developer Tools

Looking for feedback on my Rust UI Project - NowUI

A native UI toolkit for Rust, styled the way the web already thinks in. https://github.com/DeanVanGreunen/NowUI/ Multi Threaded UI submitted by /u/TheX3R0 [link] [comments]

Machine Learning and AI

When Agents Go to Production: What Actually Breaks

When agents go to production, they break the four assumptions today's infrastructure was built on: deterministic, human-driven, request-response, stateless. A first-principles walk through what actually breaks.

Rust

wstui: a terminal word search game with 2D & 3D puzzles (Rust + Ratatui)

I built a small word search game for the terminal using Rust and Ratatui. It supports both classic 2D grids and 3D puzzles, with tiny/small/medium/large puzzle generation and save/load support. Features: Play & solve word search puzzles in the terminal 2D and 3D puzzle modes Configurable puzzle sizes Save/load puzzles Install: cargo install wstui Source: https://github.com/jpatel2005/wstui Crate: https://crates.io/crates/wstui 3D puzzle (Tiny) submitted by /u/nerdygamer05 [link] [co

Linux

Ncdu alternative in Rust

works on Windows, Mac, Linux, Freebsd https://github.com/vyrti/cleaner License: Apache 2.0 or MIT https://preview.redd.it/psx544v6fkfh1.png?width=1388&format=png&auto=webp&s=7a1a0d77d6a1509f5511051003c6edecd87f8759 submitted by /u/AleksHop [link] [comments]

Distributed Systems

Blueberry: Force Multiplier For The On-Call Engineer

How we built a Slack-native on-call reasoning harness at Instacart that shortens time to first insight, speeds up theory testing, and turns tribal knowledge into reusable infrastructure.Key Contributors: Karthik Halukurike, Gabe de Oliveira, Hassan Jallad, Alan WongOn-call work is a race to turn noisy signals into shared judgment. The hardest minutes of that race aren’t the ones spent fixing the bug — they’re the ones spent figuring out what the bug even is, while everyone in the thre

Software Engineering

The one thing every experienced engineer gets wrong

In the last few months every engineer I hired stumbled in exactly the same way: Project management. They learned quickly, but that first big project has become a rite of passage. We're talking about strong engineers great at writing code and thinking through problems. Everyone with at least 5 years of experience. I would trust them to design and own almost any system. We like to give engineers lots of agency and autonomy. Continue reading →

Machine Learning and AI

Everything or Nothing: The Missing Middle in AI Agent Authorization

Two incidents a week apart, one where an agent was the attacker and one where it was the trusted insider. Neither involved a bypassed control. The gap is that we decide authorization once, at connect time, and then trust forever at runtime.

Self-Hosting

gpiozero flow

Back in 2015, I had the idea for gpiozero — a Python library for Raspberry Pi, making programming GPIO devices simpler by abstraction: instead of thinking about pin channels, voltages, pull-up resistors and rising or falling edges, we think about buttons being pressed and released, sensors detecting light or motion, and motors driving forwards and backwards. gpiozero let you write code in these terms. We developed a device-focused API, and patterns emerged. We ended up supporting three types o

Rust

My Thoughts on the Bun Rust Rewrite

My Thoughts on the Bun Rust Rewrite Context: Rewriting Bun in Rust History When Jarred joined the Zig community about 5 years ago, I described him as someone who had strong "beginner energy". That is, he moved fast and tried a lot of different stuff, jumping head first into problems that he was not yet equipped to solve, leading to mediocre outcomes in terms of engineering, but learning a whole heck of a lot in the process. I see it as quite a healthy attitude, particularly for young people an

Self-Hosting

Six year anniversary

searchmysite.net is 6 years old today! It is also a year since the last blog entry, so a good time for another update. Talk at the 7th International Open Search Symposium in October 2025 The biggest news from the past year is that I was invited to talk at the 7th International Open Search Symposium in Helsinki on 10 Oct 2025, as part of their Industry Track on Alternative Search Engines. One of my objectives was to indicate that it is viable for an organisation to build a genuinely useful indepe

Machine Learning and AI

Using ChatGPT Voice Mode to Practice American Accent

A personalized, low-pressure way to practice an American accent, with specific feedback on my speech and as much back-and-forth as I needed

Infrastructure and DevOps

Homelab history

Homelab history I’ve been running some form of home infrastructure for a long time now. Looking back through old notes and photos, it’s interesting seeing how much it’s changed over the years. Some of it was planned, a lot of it wasn’t, and there were more than a few dead ends along the way. Like most long-running homelabs, it grew one project at a time rather than from any grand plan.

Software Engineering

The circle of competence for developers

In the world of programming, we are asking ourselves questions about the future of the developer—or, more importantly, about whether developers have a future at all. What is going to happen to us? This makes me think of the “circle of competence” discussed in the book The Art of the Good Life. The author argues that everyone should identify their area of competence and remain within it—an idea also associated with Warren Buffett. So the question is: is there something that we progr

Rust

How do you structure fuzz evidence and differential tests in a Rust workspace?

I am working on a Rust workspace where protocol validation needs more than unit tests. I am trying to keep the evidence readable for future reviewers. The structure I am considering: - cargo-fuzz targets for deserialization and state transitions - deterministic corpus seed generation - crash log with minimized reproducers - differential validator CLI that returns JSON - benchmark baselines with machine metadata - release docs that say exactly what was and was not tested For Rust projects with se

Databases

Bruce Momjian: Postgres AI Workshop

AWS was kind enough to organize an AI workshop this week in Pittsburgh for their employees, and the Postgres committers and core team. The first day covered the basics of setting up Claude and specifically how to use it from the command line to analyze files and automate workflows. We also discussed how AI-automated workflows can do testing, benchmarking, and create proof-of-concept patches to explore ideas that were previously too complex or time consuming to consider. On the second day, we

Software Engineering

Stain the Page: How I Prototype with AI

AI is incredible for rapid idea and hypothesis testing by prototyping. Prototyping isn't about writing code. It’s about protecting your most valuable resource: cognitive energy.This is how I approach it.The ProblemAs engineers, we often face the overwhelming task of determining the look, feel, and architecture of an idea through hundreds of tiny decisions.When coding by hand from a blank slate, we are making low-level choices: What should I call this variable? What loop structure is best here?

Software Engineering

Predictions

Being able to predict what’s coming up in the future allows you to make better decisions right now. Better decisions will give you more chances to actually change the current direction rather than just getting caught up in the flow.The first part of enhancing predictions is to accept that there is only one objective reality. Although it surrounds all of us, we only ever see a tiny sliver of it. Because of that, it is not uncommon for people to believe that their sliver is somehow personalized

Machine Learning and AI

NVIDIA Vera Rubin Driving Performance Per Watt, Lowest Token Cost for Partners Worldwide

NVIDIA Vera Rubin is here, and it’s going gigascale. Vera Rubin NVL72 production is ramping up with racks running at partners CoreWeave, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure. Spanning 350+ factory sites in 30 countries, Vera Rubin has the largest, most mature rack-scale supply chain ever assembled to meet customer compute demand. The Vera Rubin platform is built from chip to grid to deliver the highest performance per watt and the lowest token cost. CoreWeave’s first

Databases

Floor Drees: Big Apple, Big PostgreSQL: EDB at Postgres Summit US 2026

Postgres Summit US 2026 (formerly: PGConf NYC) will take place September 30 - October 2, at Convene, in New York. EDB is joining the event as a sponsor at the Gold-level. Our team of Postgres experts, core contributors, and innovators have secured a stellar lineup of sessions through the Call for Papers. From cloud-native transformations to deep-dive database internals, we’re covering a wide range of topics. Here is a sneak peek of what EDB is bringing to the stage in NYC.Strategy & Architect