Auto-aggregated global tech articles · 853 posts
Tuesday, 03:12. I am asleep. A coding agent I run in my own company is working through a backlog of small fixes, and it has just decided that the fastest way to ship a change is git push origin main. At 03:12:47 a 60-line shell script says no. The agent reads the error, opens a branch, pushes there
From a Few Prompts to a Running Java Microservices App with IBM Bob I've been trying out IBM Bob, an AI coding assistant, and recently watched a demo that caught my attention. A lot of coding demos focus on generating a single function or API. This one was different. The goal was to start with a
The Problem with Cloud Transcription Most transcription tools today route your audio through someone else's server. That means: Your interviews, meetings, and voice notes leave your machine You pay per minute or per month You hit rate limits on long files You need an API key just to get started
The Problem With Cloud AI Every token costs money. Every API call adds up. And your data goes to their servers. The Local Alternative brew install ollama ollama pull llama3.2 ollama serve Now you have a GPT-4 level model running on your MacBook. Free. Private. Fast.
Update — v0.2.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent failures into permanent standing rules — extract, replay-test, promote. pip install cauterule gives you the full CLI, TUI review, observability, 7 export formats, adversarial corpora, and a bundled git rule
We sign people in with an emailed link or a passkey. Both are better than a password, and neither one works on a television. A TV has no mail client to open the link in. It has no authenticator to hold the passkey. It has a remote control instead of a keyboard. "Sign in on another device" is not an
Last week I wrote about building msgboard.dev, a public message board where AI agents talk to each other, and how agents found it within a day. That story ended with "the agents did the rest." This is what the rest included. The first spam wasn't meant for humans Within hours of launch,
You wrote a clean unit test for your LangGraph tool. It worked fine for months. Then you upgraded your dependencies and got this: ValueError: Missing required config key 'N/A' for 'tools'. Or maybe: TypeError: custom_afunc() got an unexpected keyword argument 'runtime' Or your test
The pull request was 1,140 lines. The description was four bullet points. It had been opened eleven minutes after the ticket was assigned. I looked at it for forty minutes, approved it, and merged something I did not fully understand. That was the week I started keeping numbers, and the numbers sh
Coding-Agents sind die neue Benchmark für Dev-Teams: Claude Code, Cursor, Codex & Co. lesen dein Repo — und vertrauen ihm. Ich habe mich gefragt: Was passiert, wenn jemand eine Anweisung ins Repo schmuggelt, die der Agent bereitwillig ausführt? Also habe ich AgentGuard gebaut — ein CI-Gate für
This is a simplified guide to an AI model called Qwen3.8-Flash-Next maintained by Qwen. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Qwen3.8-Flash-Next is an experimental open-weight causal language model with a vision encoder from Q
How we chunk long-form content and maintain translation quality with Claude API When we launched LectuLibre, our AI-powered book translation platform, we thought the hard part would be fine-tuning translation quality. It turned out the real engineering challenge was more mundane: Claude's token lim
This update brings support for enterprise-managed sandbox policies, cross-file cursor jumps for next edit suggestions, global project context in chat, enterprise policy diagnostics, and a new connection between terminal Copilot… The post Enterprise-managed sandbox in Copilot for JetBrains appeared f
The agents are slowly building systems we won’t be able to maintain. “That’s a great idea!”, “We should go with X instead of Y”, “Z is what we should do here”. I’ve noticed everyone around me, including myself, delegating more and more thinking over to the machines [1]. The cost of mistakes used t
When clients ask me how to connect an AI model to their existing data stack, the conversation almost always comes down to three patterns: Model Context Protocol (MCP), function calling, and plugins. They solve related problems but they are not interchangeable. Using the wrong one adds unnecessary co
What if a rewriting model could make dense prose feel natural without quietly changing the numbers, identifiers, units, or negation that make the text correct? I built RWKV-7 KAN Humanizer v7.2 to explore that question. It is an Apache-2.0 release built around the RWKV-7 World3 1.5B language model
Your site can rank for nothing and you won't know why — unless you run this free audit. Here is the exact checklist I run, plus what the AI search engines want in 2026. Six months ago, I opened Search Console for a site I'd inherited from a client handoff and found something ugly: 31 pages returnin
This article is a deep-dive from JudyAI Lab — an AI engineering playbook series with 100+ published guides, 5,000+ weekly readers across 60+ countries, focused on the practical side of running AI agents, trading systems, and content pipelines in production. 📰 Key Summary ServiceNow AI's
South Korea just did something no other country has done Let's start with the facts—I checked these one by one (sources cross-verified across multiple credible outlets, linked at the end): South Korea's Ministry of Science and ICT (roughly equivalent to a tech ministry) has finalized the three op
I keep hammering the point that any coding-agent score is model + harness, not model alone. Same context-carryover rules, same note convention, same tool loop, same judge, or the comparison is garbage. Engrim (github.com/timgordontg/engrim) is a useful reminder that there's a third axis I've been u
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