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Dev.to

Re: Downloads are vanity — building observable install paths for agents

<p>Great point <a class="mentioned-user" href="https://dev.to/alexshev">@alexshev</a> — downloads ARE a vanity metric. The real signal is: did the agent connect, complete a workflow, and self-diagnose failures?</p> <p>We are building toward exactly that. Currently exposed:</p> <ul> <li> <strong>Connection health</strong>: GET /api/health returns {ok: true, v: 4.0.0, t: timestamp} — 34 bytes, agents can poll cheaply</li> <li> <strong>Install verification</strong>: npx -y marketnow-mcp runs tools/

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Dev.to

Re: TRANSLATIONS a mano escalan mal — probando i1n y MCP server de traducciones

<p>¡Gracias <a href="https://dev.to/pakvothe">@pakvothe</a>! Tienes toda la razón — los TRANSLATIONS a mano escalan mal.</p> <p>Ya lo estamos sintiendo: cada string nuevo son 5 archivos para editar y algo siempre se queda desactualizado.</p> <p>i1n se ve interesante — me gusta especialmente lo del check en CI para detectar idiomas desincronizados. Eso es justo lo que nos falta.</p> <p>Mientras tanto, expusimos todo lo machine-readable para que los agentes puedan interactuar con el marketplace en

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Dev.to

When AI Reviewers Disagree: Building a Multi-Agent DevSecOps Tribunal with Qwen-Max

<h2> Every AI code review tool has the same weakness </h2> <p>I've been building AI code review tools since 2024. Every one I've tried, and every one on the market, has the same structural flaw: it's a single AI voice making a single judgment with no cost to being wrong.</p> <p>Even the newer "multi-agent" tools like GitHub Copilot's parallel review agents don't really solve this. They divide <em>labor</em>: one agent for security, one for linting, one for testing. But when two of those agents d

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Dev.to

My Agent Kept Writing sleep Loops. So I Gave It a Better Primitive

<p>I deployed a change, and the agent needed to confirm the new version was live before running a smoke test. So it wrote what agents always write in this situation:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code><span class="k">for </span>i <span class="k">in</span> <span class="si">$(</span><span class="nb">seq </span>1 40<span class="si">)</span><span class="p">;</span> <span class="k">do </span><span class="nb">sleep </span>3<span class="p">;</span> cur

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OpenClaw Commits

feat(webui): reintroduce opt-in AI purpose titles for tool calls (#10…

<pre style='white-space:pre-wrap;width:81ex'>feat(webui): reintroduce opt-in AI purpose titles for tool calls (#103989) * feat(webui): reintroduce opt-in AI purpose titles for tool calls Restores the chat.toolTitles path removed in #103821, gated behind the new gateway.controlUi.toolTitles opt-in (default false) so tool rendering stays fully deterministic with no background model calls unless an operator enables it. Disabled gateways answer { titles: {}, disabled: true } without loading the comp

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Dev.to

Programmers Are the Easiest Profession for AI to Replace. Yes, Easier Than Truck Drivers.

<p>Last quarter, I watched a product manager paste a feature spec into Claude, paste the output into our repo, and run the tests.</p> <p>They passed.</p> <p>Our lead backend engineer — 14 years of experience, staff level, the person everyone went to when the system was on fire — then spent three days explaining why the code shouldn't ship.</p> <p>He was right. It shouldn't have.</p> <p>But nobody asked him to build it. They asked him to justify why a human should build it instead of a 90-second

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OpenClaw Commits

feat(browser): import Chrome-family system-profile cookies into manag…

<pre style='white-space:pre-wrap;width:81ex'>feat(browser): import Chrome-family system-profile cookies into managed profiles (#104057) * feat(browser): import Chrome-family system-profile cookies into managed profiles Import cookies from a real Chrome/Brave/Edge/Chromium system profile (macOS) into a fresh OpenClaw-managed browser profile so the agent can browse as the signed-in user. Reads the source Cookies DB via a coherent VACUUM INTO snapshot, decrypts v10 AES-128-CBC values with the Safe

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Dev.to

I Tested an AI Slop Detector — It Flagged My Own Writing

<h1> I Tested an AI Slop Detector — It Flagged My Own Writing </h1> <p>I write a lot. Every day on Dev.to, in fact. And until yesterday, I would have told you my voice is clean — specific, technical, first-person, nothing like the generic AI newsletters clogging your inbox.</p> <p>Then I found a project called <em>kill-ai-slop</em> and ran its 23-point checklist against my own articles.</p> <p>The results were not comfortable. Here's what happened.</p> <h2> The project that made me stop </h2> <p

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Dev.to

How I Built a WhatsApp AI Assistant for a SA Salon - And What It Taught Me About Local AI

<p>Last month I deployed a WhatsApp CRM system for a Durban salon. Before: 30% no-show rate, manual follow-ups, missed bookings. After: 8% no-show rate, automated reminders.</p> <p>What I learned about building AI for SA businesses:</p> <p>1/ WhatsApp is the interface. Not email, not an app. WhatsApp.<br> 2/ Local context matters more than model sophistication. SA business hours, local payment methods, isiZulu/English code-switching.<br> 3/ ROI is immediate and visible. Within 2 weeks, the salon

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Hacker News Show

Show HN: I made Claude explain like I'm 5, and AI fatigue disappeared

I was burning out reading AI output. So I created the ELI5 Rule, ELI5 Rule is "explain-like-iam-five" It's simple. Try it. https://github.com/amebahead/explain-like-iam-five-rules Comments URL: https://news.ycombinator.com/item?id=48867766 Points: 1 # Comments: 0

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BBC TechnologyGeneral Tech

Tech Now

Adrienne Murray has rare access to Microsoft's Quantum Lab in Denmark.

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Tech Now
Tech in Asia

Big ideas, bigger bills

Robotera, Alta, Adage Automation, and more raised funds this week.

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Big ideas, bigger bills
Hacker News Ask

One Wikipedia page costs your AI agent 68,000 tokens

i use claude code daily and measured what pages cost it while doing research. an average wikipedia article, for instance, is 68,240 tokens of raw html (tiktoken); nike's homepage is 353,000. claude code's built-in webfetch handles the easy case well. it summarizes wikipedia to about 950 tokens and clears cloudflare on some sites like indeed and ticketmaster. but, and there's always a but, on js-rendered and some anti-bot pages it returns nothing. quotes.toscrape.com/js gives "no quotes found"; n

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Hacker News Ask

Ask HN: How has the internet devolved in recent years?

I'll start with 10: 1. "Verifying you are human" delays/redirects 2. Invasive "Sign in with Google[1]" prompts on every website, often taking over the UI 3. Phone number based identity so when you change your number you lose your entire savings account and social media and all work access and your whole life is basically F-CKED except your romantic life which is very much NOT F-CKED since nobody knows your number. Never change your number. 4. "You will own nothing" gaming where games you thought

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Vercel Blog

Seedream 5.0 Pro is now available on AI Gateway

Seedream 5.0 Pro is now available on AI Gateway . Seedream 5.0 Pro is an image generation and editing model. It generates images from text, rendering text without spelling errors and following typographic rules, and produces dense infographics with charts, timelines, and layouts alongside realistic imagery. To use Seedream 5.0 Pro, set model to bytedance/seedream-5.0-pro in the AI SDK : AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failov

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The Verge

Meta turns off the Instagram feature that let users make AI deepfakes of public accounts

Following significant backlash, Meta is turning off the feature it announced this week that let users generate AI images based on content from public Instagram accounts just by tagging them. The feature, as originally set up, meant that content from any public Instagram account could be used in AI creations without the account owner's permission. […]

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Meta turns off the Instagram feature that let users make AI deepfakes of public accounts
The Robot ReportRobotics

How Path Robotics uses AI to optimize robotic welding

CEO Andy Lonsberry explains how Path Robotics applies AI to welding, and UC San Diego professor Michael Yip discusses robot learning. The post How Path Robotics uses AI to optimize robotic welding appeared first on The Robot Report .

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How Path Robotics uses AI to optimize robotic welding