Auto-aggregated global tech articles · 1,233 posts
AI & ML
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
Frontend
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
Frontend
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
AI & ML
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
AI & ML
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
Backend
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
Frontend
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
Frontend
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
General
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
AI & ML
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
AI & ML
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
Frontend
“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