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Auto-aggregated global tech articles · 815 posts

AI & ML

How We Doubled Our Cache Hit Rate When Pre-Warming Wasn’t Enough

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

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Backend

How We Built a Tamper-Evident Audit Log for SOC 2 and ISO 27001 Evidence

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

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Frontend

Why I Built Coordiation CSS for Humans and AI Agents

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

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Frontend

From generating files to using tools: a code agent's ReAct loop

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

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General

Should I use my dead name in the website?

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

Reddit r/webdev
AI & ML

What an agent loop is (and isn't): state, action, stop

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

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Frontend

What “local OCR” should mean in a web application

“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

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