🌍 Dev.to

The LLM is an ALU - Lessons from a ZX Spectrum

Every time your LLM agent calls a tool and reads the result, you're paying a tax. Not in dollars — in tokens, latency, and reliability (ok, dollars then). The tool's output gets serialized into text, tokenized into the context window, attended to by the model, and then re-serialized when the model decides what to do next. If the next step is another tool call, the cycle repeats. Data that never needed the model's judgement flows through the most expensive component in your system — twice. Thi...
🌍 Dev.to

Why Publishers Are Blocking AI Crawlers and Reshaping Access to Web Content

Major publishers have increasingly restricted AI crawler access to their websites, turning a once largely technical robots.txt decision into a strategic question about training data, licensing, and control of digital content . The shift does not mean publishers have adopted one common position on artificial intelligence. It does mean that AI companies can no longer assume that publicly reachable web content is available for automated collection. One early, high-profile example came in Sept...
HackerNews

An SLM trained on $8 ESP32-S3

Article URL: https://github.com/Carloscodix/qapla Comments URL: https://news.ycombinator.com/item?id=49178464 Points: 40 # Comments: 14
HackerNews

Helsinki Hacker News Meetup

Article URL: https://calpaterson.com/helsinki-hn.html Comments URL: https://news.ycombinator.com/item?id=49180407 Points: 107 # Comments: 59
HackerNews

Position: LLMs Can't Jump

Article URL: https://openreview.net/challenge?redirect=%2Fforum%3Fid%3DklU4737opt Comments URL: https://news.ycombinator.com/item?id=49181083 Points: 14 # Comments: 5
🌍 TheVerge

SpaceX is coming for T-Mobile, AT&T and Verizon

SpaceX is preparing to build a terrestrial mobile network to "acquire quite a few" of the customers now subscribed to T-Mobile, AT&T, and Verizon. The message to compete head-to-head with the US carriers was delivered by SpaceX president Gwynne Shotwell and CEO Elon Musk during the Q&A section of the company's first earnings call. "The […]
🌍 TheVerge

Ted Lasso returns at an important time for Apple TV

2026 is shaping up to be an excellent year for Apple TV. Apple's streaming service has built out an impressive slate that spans returning favorites like Silo and Sugar to all-new hits including OnlyFans-inspired dramedies, terrifying comedies, and paranoid tech thrillers. But the most important release might be a feel-good sports sitcom. After what seemed […]
Strengthening the Moravian-Silesian Region’s Codebase
🌍 Dev.to

Strengthening the Moravian-Silesian Region’s Codebase

A resilient, easily maintainable software foundation is essential for delivering reliable public services. Refusing to settle for legacy standards, the Moravian-Silesian Region (MSK) IT team proactively initiated a comprehensive, data-driven code quality review. Together, we analyzed their web application ecosystem, pinpointed operational bottlenecks, and established a clear path toward long-term code quality and developer efficiency. The MSK ecosystem consists of a network of applications bu...
🌍 Dev.to

The Zero Context Token Donor Protocol

Every team with AI coding agents hits the same wall. Subscriptions meter usage, caps are per seat, and consumption varies wildly between developers who sit three meters apart. One exhausts the weekly allowance by Thursday; another has never seen a limit warning. The spread is habits, workflow, and automation, not seniority. The known workaround, a second subscription per person, violates most terms of service, so file it under "ways to lose your account" and move on. The interesting arrang...
🌍 Dev.to

Your 12-Minute Frontend Build Is Now Your AI Agent's Bottleneck

Your coding agent just opened five PRs in a morning. Each one changes a handful of files in one product area. Each one triggers a twelve-minute build of the entire frontend: search, account, admin, marketing pages, all of it. That is an hour of CI to validate maybe two hundred lines, and the review queue is now the slowest part of a workflow you adopted to go faster. The same twelve minutes used to be an annoyance you absorbed a few times a day. At agent throughput it is the bottleneck. It...
🌍 Dev.to

Pockr | Part 7 — Standalone App Deprecated & Merged into Linxr

In earlier parts of the Pockr engineering series, we chronicled our journey bundling native binaries, configuring Linux kernel modules, and executing Docker containers on non-rooted Android hardware. Today, we are announcing a major milestone: Standalone Pockr has officially been merged into Linxr! Why Merge Pockr into Linxr? Running Pockr and Linxr as separate applications required users to run two independent QEMU virtual machine instances: Double memory overhead (...
🌍 Dev.to

Necrophos.nvim: Dota 2 Heroes Neovim Color Schemes

What if your code editor matched the hero you were playing? I'm a developer who plays Dota 2. And one day I realized something while staring at my terminal during a 45-minute game: my colorscheme didn't match anything about the world I was actually living in. So I built eight. necrophos.nvim isn't a collection of eight tints of the same palette. It's eight completely different Dota 2 heroes, each traced back to their actual in-game colors, transformed into syntax-aware, WCAG-compli...
🌍 Dev.to

The Random Forest Cheat Sheet: Everything on One Page

The One-Line Summary: Every Random Forest decision from this series compressed onto one printable page — the three randomness knobs and what each one costs, starting hyperparameter ranges split by classification versus regression, which importance method to trust and when, the RF vs Bagging vs Extra Trees table, and a symptom-to-fix list for the eight ways a forest goes wrong in production. The One Line That Explains Everything Else THE VARIANCE OF AN AVERAGE ━━━━━━━━━...
🌍 Dev.to

Linxr | Part 8 — Fixing Network Latency & SLIRP Terminal Slowness

In earlier parts of our series, we covered SSH terminals, Docker integration, and storage passthrough. Today in Part 8 , we share the deep network engineering required to fix terminal latency and optimize SLIRP user-mode networking in QEMU on Android. The Symptom: Terminal Typing Lag During initial testing, typing commands in the SSH terminal tab felt slightly delayed. Keystrokes would buffer for 100–300ms before rendering on screen. When investigating with tcpdump and s...
🌍 Dev.to

Linxr | Part 9 — Dynamic Storage Expansion & Automatic resize2fs on Boot

In Part 8 , we solved network latency for instant terminal typing. Today in Part 9 , we explain how we implemented dynamic virtual disk expansion ( resize2fs ) across reboots without data loss. The Problem: Hardcoded 1.4 GB Filesystems In early Linxr builds, setting 30 GB or 50 GB storage in Settings appeared to allocate a larger QCOW2 virtual disk. However, inside Alpine Linux, running df -h still reported only 1.4 GB of usable disk space! Why? The base rootfs ima...
🌍 Dev.to

How a self-taught dev gets merged PRs into real open-source projects

I'm self-taught, 22, and I have merged pull requests in real open-source projects — a quantum-computing library, an AI coding-agent toolkit, security tooling, data stacks. No CS degree, no referral. Just a repeatable process. Here it is, no fluff. Why bother (if you're job-hunting) A merged PR is public, verifiable proof you can read a real codebase, follow its conventions, and ship. It beats a wall of tutorial projects on a resume, because a stranger with commit rights already...
🌍 Dev.to

Coding with an AI agent: what actually changed (and what didnt)

Every job post now says "we expect you to use AI in your daily workflow." Good — because used well, an AI coding agent is a real multiplier. Used badly, it's a confident intern that ships bugs. After months of building and shipping merged open-source PRs with an agent in the loop, here's what actually changed — and what didn't. What genuinely got faster Navigating unfamiliar codebases. Dropping into a repo I've never seen and asking "where is X handled and why" collapses hours ...
🌍 Dev.to

15 Productivity Principles Every Software Engineer Should Practice

15 Productivity Principles Every Software Engineer Should Practice As developers, we're constantly looking for better tools. A new IDE extension. A faster AI assistant. A more powerful framework. A smarter note-taking app. But after more than 10 years of building production software , I've learned that productivity isn't about collecting better tools. It's about removing friction. The most productive engineers I know don't necessarily work longer hours—they build habits...
🌍 Dev.to

Why AI assistants forget, and what I learned rebuilding memory from scratch

I lost five days to an AI assistant that would not stop giving me the same wrong answer. I was building an MLOps pipeline and needed to set up an Airflow DAG. Microsoft had just moved Airflow into Fabric, away from Azure, and there was almost no documentation on the new setup yet. Every time I corrected the assistant, it apologised, promised to fix it, and handed back a slightly reworded version of the same broken config. I opened fresh chats and re-explained the whole problem. Same loop, eve...
🌍 Lobsters

Add html <details> element to allowed comment syntax

I think it would be nice to be able to throw some extra detail in comments from time to time that shouldn't be generally shown without clicking expand. Things which aren't core to the discussion but help support the comment are worth doing here. Opening in meta because this feels less like the sort of thing that belongs in a github issue and more like something that would be useful for users of the site to discuss / have opinions on. I.e.: <details><summary>some text</summary&g...
🌍 Dev.to

AWS launches Kiro Crew for autonomous engineering teams

AWS introduced Kiro Crew on Tuesday as a new open-source orchestration platform. This tool aims to help businesses shift from interactive AI coding assistants toward autonomous engineering workflows. The system manages tasks across various repositories and developer tools over multiple work sessions to increase overall efficiency. Orchestrating autonomous development cycles Kiro Crew goes beyond simple code generation by coordinating multiple AI agents simultaneously. It schedule...