{"slug": "running-local-llms-for-coding-no-api-keys-full-control", "title": "Running Local LLMs for Coding: No API Keys, Full Control", "summary": "A developer reports that running local LLMs for code completion is now faster and more private than using cloud APIs. Using Ollama with a 7B model on an M3 Max MacBook Pro, they achieved sub-second completions and saved significant time on boilerplate, debugging, and test writing. The setup requires at least 8GB VRAM and works best with a decent GPU.", "body_md": "You've probably noticed the code completion tools getting slower and more rate-limited. You've also probably gotten tired of explaining your entire codebase to an API that costs money per token. What if I told you could run your own LLM locally and get genuinely faster completions?\n\nI spent the last month setting up a local LLM workflow, and yeah, it's better than outsourcing to APIs. Here's what I actually use.\n\nSix months ago, local models were slow. Now? Not so much. Ollama + a decent GPU gets you sub-second completions for code tasks. That's faster than waiting for an API call half the time.\n\nThe benefits are real:\n\nThe downside: You need about 8GB of VRAM minimum. 16GB is comfortable. If you're on older hardware, this won't work.\n\n**Hardware:** MacBook Pro 16\" with M3 Max (36GB unified memory). On Linux? Similar story — need a decent GPU or CPU with enough cores.\n\n**Tool stack:**\n\nInstallation takes 10 minutes:\n\n```\n# Install Ollama\nbrew install ollama  # or download from ollama.ai\n\n# Start the server\nollama serve\n\n# In another terminal, pull a model\nollama pull mistral\n```\n\nThat's it. Ollama runs on `localhost:11434`\n\nby default.\n\nFor Continue, I grabbed the VS Code extension and configured it:\n\n```\n{\n  \"models\": [\n    {\n      \"title\": \"Mistral 7B Local\",\n      \"model\": \"mistral\",\n      \"apiBase\": \"http://localhost:11434/api\",\n      \"provider\": \"ollama\"\n    }\n  ]\n}\n```\n\nNow I use Ctrl+K (or Cmd+K on Mac) to trigger inline code generation. It works. Actually works.\n\n**Example 1: Boilerplate Generation**\n\nI needed a Redux reducer with a few specific actions. Mistral nailed it on the first try — structured correctly, no hallucinations, just gave me what I asked for. Saved 5 minutes of manual typing.\n\n**Example 2: Bug Diagnosis**\n\nPasted a stack trace, asked what was happening. Got a correct answer with a fix. Not a wild guess — the actual issue was a missing async/await in a parent function. Saved me 20 minutes of debugging.\n\n**Example 3: Test Writing**\n\nAsked it to generate tests for a utility function. Generated decent test cases using Jest. Needed minor tweaks but 80% complete. Normal.\n\nThis isn't a magic tool. Mistral 7B (and other 7B models) genuinely struggle with:\n\nFor these, I still use Claude for serious thinking. Local models are for coding speed, not problem solving.\n\nOn my M3 Max, inference takes 0.5-2 seconds for code completions. That's real-world, not benchmark. Sometimes slower, sometimes faster depending on what's running.\n\nCompare that to waiting 3-5 seconds for an API request to round-trip, and the local option wins.\n\nIf you're:\n\nThen absolutely. Set aside an hour, get it running, see if it fits your workflow.\n\nIf you're:\n\nThen stick with what you have. Local models are a productivity tool, not a replacement for serious infrastructure.\n\nAlso — if you're building your own AI tooling, stay in the loop with ** LearnAI Weekly** for deeper dives on local models, open-source tools, and what's actually worth your time.\n\nThe future of coding tools is personal. Control yours.", "url": "https://wpnews.pro/news/running-local-llms-for-coding-no-api-keys-full-control", "canonical_source": "https://dev.to/learnairesource/running-local-llms-for-coding-no-api-keys-full-control-48cj", "published_at": "2026-06-24 15:00:32+00:00", "updated_at": "2026-06-24 15:09:55.145024+00:00", "lang": "en", "topics": ["large-language-models", "developer-tools", "ai-tools", "ai-infrastructure"], "entities": ["Ollama", "Mistral 7B", "VS Code", "Continue", "Claude", "MacBook Pro", "M3 Max"], "alternates": {"html": "https://wpnews.pro/news/running-local-llms-for-coding-no-api-keys-full-control", "markdown": "https://wpnews.pro/news/running-local-llms-for-coding-no-api-keys-full-control.md", "text": "https://wpnews.pro/news/running-local-llms-for-coding-no-api-keys-full-control.txt", "jsonld": "https://wpnews.pro/news/running-local-llms-for-coding-no-api-keys-full-control.jsonld"}}