... community! While working on local inventory optimization, we hit an interesting technical bottleneck: standard time-series models struggle with neighborhood-level demand spikes caused by micro-weather shifts, local

... Hoplite today - it's a passion project driven by our love for dev tools (especially ones that feel incredible to use, like Linear). In simple terms, Hoplite allows you to 'effortlessly' use cloud coding agents. We port over your local sessions/memories/MCP servers, so you can just pick up right from where you left off, but now you can close your laptop lid! One of the things we're most curious about is why people are still using local

... Over the past few weeks, I built a reproducible benchmark to explore a practical question: Can a local language model correct writing effectively while also explaining the user s mistakes? This work is part of LinguaPilot AI, a Windows writing coach designed to improve the user s own draft and explain the corrections, rather than automatically writing everything on their behalf. For this first study, I compared Qwen3 4B, 8B and 14B under the same local

... there's a distinction I keep thinking about: apps built with AI (Cursor, Claude, Copilot writing the code) vs apps that depend on AI APIs at runtime to function. I'm in the first camp. I used AI-assisted coding heavily to build Briskly (a cleaning app that scans your room and generates a timed task list), but the app itself makes zero LLM API calls. The scanning runs on Apple's Vision framework, entirely on-device. No tokens ... ... pricing volatility bitten anyone yet? Anyone shipped with local/on-device models (Apple's Foundation Models, Core ML, quantised open models)? How was the quality gap in practice? Where's the line for you? Which features genuinely need a frontier model vs

... Disclosure: I work with the LynavoDrive team. We open-sourced the local core of a computer-first file tool, then wrote down the product boundary we kept seeing shortened in discussions: - initial setup needs internet and the first connection happens on the same LAN; - after setup, LAN file access can work without public internet; - the computer must stay online, with the desktop client running and signed in; - the phone must remain authorized; - cross-network access is optional and paid ... ... encrypted relay; - file access is not full two-way sync or disaster recovery. The repository contains the local

... Building a Faster Medical Store: My 7-Day Experience with MyMedi HTML A few weeks ago, a client of mine who runs a local medical supply shop called me in a bit of a panic. Their existing online shop, built on a heavy database-driven content management system, was taking over six seconds to load on mobile devices. In the medical supply niche, customers are often in a hurry. They need to order bandages, digital thermometers, or diagnostic kits quickly ... ... shop, including the technical friction points I faced and the exact code I wrote to solve them. --- Day 1: Unpacking, Setup, and the Initial Audit I started my Monday by downloading the template files and setting up a basic local

... Weather mini 3.6 is now available. This update adds local weather sources in supported regions, makes the app nearly half the size , and brings a series of improvements across Weather mini. Regional Weather, Closer to Home Sometimes the weather source you know best is the one closest to home. Weather mini 3.6 can now add data from local

... Product Hunt Submission Draft ## Product Name remote-browser.dev ## Tagline A remote headed browser for agentic UI testing ## Short Description Build an agentic UI test harness that lets local coding agents drive a visible remote browser, collect screenshots, judge UI expectations, and produce repeatable test reports. ## Article / Maker Comment ### Building an Agentic UI Test Harness with a Remote Headed Browser Modern UI testing is changing. Traditional end-to-end tests are usually written as deterministic scripts: click this selector, fill that field ... ... first design question is deceptively simple: where should test cases live? For an agent-driven system, the source of truth should be file-based. Agents are good at reading files, diffing files, reasoning over structured documents, and updating local

... where setting up a local AI brain stops being a spelling test pick a chip, done. And it's a special one: this is Skim's first release built on a pull request from an outside contributor . Huge thanks to @gildas-refacto Gildas Pottier found Skim, decided the minimalist take on email was his thing, went off to build local

... builders here, which means at some point we ve looked at a clunky developer workflow and thought, there has to be a better way. We built ServBay as a traditional local environment manager helping developers install and configure 50+ services (PHP, Node.js, databases, domains, SSL, etc.) with a single click. But with the explosion of coding agents (Claude Code, Cursor, Codex), the way we build has changed. Our "users" are no longer just human developers they are AI agents. This ... ... currently tackling, and we d love to get your feedback on how you're navigating it. The Last-Mile Bottleneck: AI has no hands AI agents are brilliant at writing code, but they are "physically disabled" on your local

... Lingo.dev CLI now runs the localization pipeline pre-edit, human review, AI review, rephrase, back-translation, each toggled on the engine. Toggle stages on the engine's Pipeline tab, or override per job through pipelineConfig. Pre-edit cleans typos in the source before they reach any locale

... Lingo.dev  v1.0 introduces  localization engines   stateful translation APIs that you configure once and call from backend code,  MCP , or  CI/CD . Before today, every team that wanted consistent terminology, on-brand tone, and per-locale

... looking ahead, I'm trying to figure out the long-term play. At what exact point does it make sense to move away from n8n (and paying for third-party LLM APIs) to actually build out a specialized, local RAG on physical hardware? A few things are pushing me in that direction: Privacy: Handling sensitive user data or internal legal docs through external APIs is starting to feel like a liability. Costs: Paying per token is fine ... ... wondering when a dedicated server just becomes cheaper. Control: Not having to worry about external rate limits or downtimes. On the flip side, I know setting up bare metal and maintaining local

... Localization Engine Suggestions are concrete edits to a localization

... async localization API  fans out a single localization

... Rephrase is a new stage in the localization pipeline that rewrites translations to read like native, idiomatic copy in the target locale

... Hello PH We realised that people aren t really aware of what they can do with Local Panel; it s probably just being used to access the terminal easily or to manage files. However, Local

... Node, MariaDB, PostgreSQL, Redis, Mailpit, etc.) in just one click with zero VMs and minimal RAM usage. But in 2026, writing code is changing. Most of us are now building with AI agents like Claude Code, Cursor, or local models via Ollama. That got us thinking: Why hasn't our local

... Localization Jobs UI  lands end-to-end. Inspect job groups, watch per-language progress, see the source payload, see the webhook delivery, drill into any failed locale

... Lingo.dev GitHub App runs continuous localization on any repository, straight from git. Install it from your organization settings, commit a .lingo/config.json that points at your localization

... localization pipeline  wraps the core translate step with optional stages, each independently toggleable per engine and overridable per job: Pre-localization

... keep the agents you already use, such as Claude Code, Codex CLI, Gemini CLI, OpenCode, Claude Desktop, and Codex Desktop, in one workflow: launch, bridge, inspect, continue, preview, and control them across devices. What s new in v0.7.7: Local Agent API Expose local

... Hardware checks. Compatibility scans. Model deployment. Copilot routing. Local hosting. Multi-cloud instances. Cloud failover. Used to take a day. Now under 10 minutes. AI moves fast. Deployment doesn't. 40% of teams take more than a week to get a single model into production. Data scientists spend over a quarter of their working day on setup, not science. That's not an AI problem. That's an infrastructure problem. oneinfer-edge fixes it. Not by reinventing the stack ... ... Multiple serving libraries. One scan. Ollama, llama.cpp, vLLM, SGLang, TensorRT-LLM, PyTorch, Dynamo. Instead of manually testing each one against your model and hardware, oneinfer-edge evaluates all five simultaneously and tells you exactly which one to use, for local

... first real production thing: sales order/invoicing program in dBase that ran my own distribution company. (It worked. Mostly.) In 1999 I shipped abcDB, a mobile database (think MS Access) for Windows PocketPC that ended up in 110+ countries and localized into Spanish and Japanese. That weird little achievement got me a flight to Microsoft HQ in 2004 as one of a handful of devs worldwide they wanted to talk to. Still one of the more surreal weeks of my career ... ... Since then I've been doing full-stack CRM and e-commerce work for customers across North America. Steady, solid, not flashy. Now I've built the most ambitious thing I've ever shipped: MyHandler a local

... VibeAround v0.7.2 is out. This release is mostly about making local coding-agent setups easier to debug and less fragile: Added a Bridge recorder for local