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Stop sending everything to APIs.
 Run more locally. Spend less.
 Code Scout → llmscout.co/code-scout

Best Free AI Coding Setup? Code Scout + Ollama Full Tutorial youtube.com/watch?v=zG9aPb…

Code Scout is live. Free to download. llmscout.co/code-scout API bills were getting out of hand. Local AI IDE that lets you actually control what model runs what task instead of sending everything to OpenAI and hoping for the best. Going open source soon

AI agents shouldn’t cost $5 to fill a form.
Code Scout fixes that.
 👉 llmscout.co/code-scout

Running local models like #Qwen is great… until they get stuck. Code Scout now detects failure and lets the orchestrator take over automatically. From crash → completion. #buildinpublic

@KaiXCreator 128GB+ then you can install local models and code off line :)

As a Developer, how much RAM is enough for you? 1. 8 GB 2. 16 GB 3. 24 GB 4. 32 GB 5. 64 GB 6. 128 GB+

@Bober_smart Agree with this. Hardware + local models is step one, but without a proper agent loop it’s still pretty manual. I’ve built Code Scout to solve that, local-first agent that actually runs tasks end-to-end. If you’re up for testing it on your Mac Mini, I can give you access.

> Buy a Mac Mini -> $600 1. You get a full-scale AI agent that works 24/7 without breaks. 2. Claude sometimes "sleeps" (rate limits, downtime, night-time restrictions). 3. Your agent on a Mac Mini never sleeps. > Claude -> $200 every month > Mac Mini -> $600 one-time payment You gain an autonomous personal assistant that handles all your routine tasks, saving you both time and money.

Built a cross-platform desktop app without owning Windows or Linux. Tauri + GitHub Actions runners = ship Mac, Windows & Linux from one machine. That’s how I built Code Scout 👀 Local AI, real tools, zero API lock-in.

@ivanfioravanti Ciao @ivanfioravanti ! Have you experimented with Local AI? Built a code IDE from the ground up for small coding models:
llmscout.co/code-scout

@uixamjad Have you experimented with Local AI? Built a code IDE from the ground up for small coding models:
llmscout.co/code-scout

You will end your Entire one year Claude or other AI subscriptions but naah never will get human taste and Results like this… 👇👇👇👇👇don’t depend on AI use it just for get starting with your idea or rid of Blank white screen 🥳🥳🥳🥳🥳

@Adidotdev Have you experimented with Local AI? Built a code IDE from the ground up for small coding models:
llmscout.co/code-scout

Devs be honest, which IDE is the best right now?

@aryagm01 Have you experimented with Local AI? Do you find it hard to do using the usual IDEs (cursor, VS code, Windsurf)? Built a code IDE from the ground up for small coding models:
llmscout.co/code-scout

dflash-mlx: DFlash speculative decoding, ported to Apple Silicon. Qwen3-4B at 186 tok/s on a MacBook. 4.6× faster than plain MLX-LM. Exact greedy decoding: output matches plain target decoding.

@shiri_shh Anyone here experimenting with Local AI a part from OpenClaw? I built a code IDE specifically for small coding models:
llmscout.co/code-scout

someone built an OpenClaw agent that SELLS pool installations on autopilot. finds $500k–$1.2M homes without pools renders a pool in their backyard and mails a before/after postcard.

@AuthenticDom Curious who’s actually using Local AI? Built a code IDE designed for small coding models:
llmscout.co/code-scout

I built a Claude agent for Meta ads ...that analyzes your account and tells you exactly what to fix to scale profitably Comment "SCALE" and I'll send you the full workflow 👀

@AlexFinn amazing --> please please test llmscout.co/code-scout we would like your feedback 🙏🙏

I don't care what kind of hardware you have, you should be running local models It will save you a ton on money on OpenClaw and keep your data private Even if you're on the cheapest Mac Mini you can be doing this Here's a complete guide: 1. Download LMStudio 2. Go to your OpenClaw/Hermes and say what kind of hardware you have (computer and memory and storage) 3. Ask what's the best local model you can run on there (probably will be Gemma 4 or Qwen. if you have a big computer, it will be GLM) 4. Ask 'based on what you know about me, what workflows could this open model replace?' 5. Have OpenClaw walk you through downloading the model in LM Studio and setting up the API 6. Ask OpenClaw to start using the new API Boom you're good to go. You just saved money by using local models, have an AI model that is COMPLETELY private and secure on your own device, did something advanced that 99% of people have never done, and have entered the future. If you are on smaller hardware you probably are not going to replace all your AI calls with this, but you could replace smaller workflows which will still save you good money Own your intelligence.

Shipped with Local AI 👇 Kimi 2.5 + Qwen (local) → desktop app 164M tokens later… Not a demo. Used daily. UK property tool: finds & ranks deals. Not for sale. Edge only. Local AI = slower, cheaper, more control Only thing that matters: did you ship?

Can Gemma 4 be your orchestrator & instruct code agents to write code for you? Simple answer: NO. Gemma isn’t built for tool use: • no native function calling • no reliable structured outputs • weak multi-step planning Use a stronger planner → let Gemma execute.

Built a free AI coding agent for Mac that runs on Ollama / LM Studio / llama.cpp. Local models. Real tools (shell, git, files). No API bill. Still beta but the loop works. Join the waitlist 👇 llmscout.co/code-scout

Been tinkering with something the last few weeks. Got fed up with how expensive AI coding has become. $200 Cursor sub + £1,834 in API spend in March… and I barely shipped anything. Not even mad. Opus 4.6 is insanely good. But it made one thing obvious: this doesn’t scale.

AI coding is getting expensive fast. $200 subscription + $1k–$2k in API usage. So I built a local-first IDE instead. It uses orchestration, memory, and a heartbeat system to actually work with small models. youtube.com/watch?v=9KLV-n…