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If you are using Claude in VS Code—whether through Claude Code, Cline, or other extensions—you already know it’s a massive productivity multiplier. You also know that agentic coding loops burn through tokens faster than anything else on the market.
Every time the AI reads your workspace, checks a log file, or iterates on a refactor, you are paying Anthropic. Even if you are on a $20 or $100 monthly subscription, hitting your usage limits mid-sprint is a constant frustration. It is time to stop renting intelligence
Why Go Local?
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Zero API Costs: Stop paying per token. Thinking is free.
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No Connectivity Needed: Keep working with your AI without internet connectivity
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No Rate Limits: You will never be told to “Please wait until 3:00 PM to send another message.”
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Enterprise Privacy: Your proprietary codebase never leaves your laptop or your secure servers. User data never leaves your controlled environment.
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Zero Latency: Inference happens locally, meaning your Tab Autocomplete suggestions appear instantly as you type.
The 5-Minute Setup Guide
You don’t need a degree in Machine Learning or complex Kubernetes clusters to get this running. Loc.ai acts as the orchestration layer, handling the dependencies and model routing in the background. Our promise is simple: 5 Minutes to “Hello World”.
Step 1: Connect Your Device Register your device (a local edge device or a dedicated VM) with the Loc.ai platform. We generate a single, unique installation command that sets up your secure local node instantly.
Step 2: Deploy Your Coding Model Loc.ai lets you pull the absolute best open-weight models optimised for coding. Upload your preferred GGUF model (like Qwen2.5-Coder-1.5B or DeepSeek-Coder) via the Loc.ai dashboard and hit “Serve”. You now have a private API endpoint.
Step 3: Connect VS Code Install the Continue extension in VS Code. Continue is the leading open-source AI code assistant. Simply point the extension’s API configuration to your new Loc.ai local endpoint, and you are ready to code.
👉 Click here for the copy-paste terminal commands and full configuration documentation
Scale It to Your Whole Engineering Team
Running local AI on a single developer’s machine is a great start. But what if your whole engineering team needs secure, zero-cost AI.
Loc.ai isn’t just a local runner; it’s an enterprise orchestration layer. You can deploy Loc.ai nodes on your company’s internal on-prem servers and route your entire team’s VS Code traffic through your own private infrastructure. This is how you bypass compliance risks and ensure data remains strictly on-device.