Auto-aggregated global tech articles · 3,394 posts
AWS makes it incredibly easy to provision infrastructure. Sometimes, a little too easy. An EC2 instance gets created for a project. A volume survives after the instance is terminated. A snapshot is kept "just in case." A development environment runs all night even though nobody is using it. Indiv
Error: model 'Natuworkguy/flash-onyx-2.2:31b' not found (status code: 404) I never built :31b. I built :31b-cloud. I asked for :31b-cloud. Ollama went looking for something else, didn't find it, and told me so, using a name that existed nowhere on my machine, in my registry, or in my head. T
Last week I ran the first KODA Code Jam — a tournament where developers build niche single-page apps, submit them to the Showcase Wall, and compete for Champion status. The result: zero submissions. I could've blamed users. "They didn't care." "The timing was wrong." "My audience isn't into hackat
I tested two local LLMs in two different quantization formats on the same laptop, on the same prompt, three trials each. The result is the opposite of what the marketing says: the supposedly-faster new format lost by 1.8x. Q4_K_M (the older integer-based format) hit 4.7 tokens/second and finished a
In the lifecycle of a mobile application, the most expensive milliseconds are the ones that occur between the user tapping the icon and the first meaningful interaction. In my eight years of professional software engineering, I have seen these milliseconds treated as a secondary performance metric—a
toolkitsapp.com Formatters (JSON, SQL, CSS, HTML, YAML), converters (CSV to JSON, number bases, timestamps, units, timezones), generators (QR, UUID, passwords, cron expressions, favicons, meta tags), image tools (compress, resize, format convert, SVG to PNG), a JWT decoder, a regex tester, a handful
Quick question. If you run a voice agent, do you know your prompt cache hit rate on turn 1? Not the average across the call. Just turn 1, when the caller has said hello and is sitting in silence waiting for your agent to speak. We thought ours was fine. We pre-warm before every call, like everyone
A few weeks ago I was talking with Claude about whether a model could have anything like a belief, and what it would take. Its answer was that tool use is the most underrated piece: a tool is the first thing that can tell a model "no" where the "no" does not come from a human. Run some code, and the
Most teams treat "audit logging" as an afterthought: pipe everything into a SIEM or a big Elastic cluster, then hope the auditor is satisfied. In practice, that's where the pain starts. I'm Qin Kang, and I built Log Audit Platform after watching a client burn roughly six engineering-months duct-tap
Hello DEV community! 👋 For my first post, I want to share why I started building Coordiation CSS, an independent utility first CSS compiler focused on static output, owned source, and machine readable contracts. Coordiation is currently at version 1.0.0-rc.1. This is a release candidate, not a cla
So far in this series, the agent generated the whole solution in a single call: you gave it the spec and the tests, and the model returned the entire function. That works when the whole task fits in a prompt. But in a real repository you don't know in advance which files you'll need, and you can't f
Hi, im working at a restaurant as a man, and recently they needed an updated website. I have the website, but I have <meta name="developer" content="First Last"> (not actually First Last)in the head to show I made it for the future, but I am a trans woman and go by a different name. If i use m
An agent loop is the cycle in which a language model decides an action, that action runs, and the result feeds back in as context for the next decision, until a stopping condition is met. That repetition—decide, act, observe, repeat—is what separates an agent from a chat. A chat answers each message
I shipped a bug in a script I sell. I had also reported that script as "verified across four scenarios." I had verified it. In a way that verified nothing. What was broken The script cleans up git worktree directories once their branch is merged. Part of the decision was detecting squash
“Runs in your browser” is easy to put on a landing page. It is harder to make it a property of the whole OCR pipeline. An OCR page can have a static interface and still send the selected file to an API. It can keep the image local but put the extracted text into error reporting. It can avoid both a
A voice agent that books appointments is a system where someone talks, a model understands what they are asking for, calls real tools, and hangs up with an appointment on a calendar. I built one in a lab repo: ElevenLabs Agents handles the voice—transcription, turn-taking, synthesis—Cal.com handles
What do you do when Claude Code proposes one solution, Codex a different one, and Gemini a third? The usual move is to pick an agent up front and take whatever it produces. Orca changes that dynamic: it runs all three at once, each isolated in its own git worktree, and lets you compare the results a
I built OBSCURA OS, a workspace suite (docs, sheets, slides, notes, file storage, forms, calendar) that runs entirely client side in the browser. No backend database for user content, no accounts, no server round trips for your data. State lives in memory during the session and users export their ow
Article URL: https://codeberg.org/mv12star/shitter/wiki/Instances Comments URL: https://news.ycombinator.com/item?id=49571634 Points: 61 # Comments: 17
Article URL: https://artificialanalysis.ai/articles/artificial-analysis-intelligence-index-v4-2 Comments URL: https://news.ycombinator.com/item?id=49571632 Points: 31 # Comments: 4
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