Unlock Claude Code locally and ditch the compli...
Every time you use a cloud code, your source code, your client IP, your proprietary logic, your competitive advantage gets sent to Anthropic servers. For most consultancies, that's a compliance nightmare waiting to happen. But two weeks ago, Olama released an update that changes it all entirely. You could now run a cloud code locally on your own machine with your code never leaving the building. Here's the compliance nightmare I mentioned. Tools like GitHub, Copilot, Cloud Code, Cursor, they all send your code to external API. That's how they work. You type, they send it to the cloud, AI processes it, and it sends back suggestions. For consultancies, that is a problem. Client contracts often prohibit sending code or data to third parties. Even if it's not prohibited, the risk usually isn't worth the productivity gain. So the result? Developers and consultancies get left behind while everyone else accelerates.
Summary
The video discusses the compliance risks of using cloud code and introduces Ollama's update that allows local execution, keeping code private and compliant.
Key Points
- Using cloud code sends proprietary logic to external servers.
- This poses compliance risks for consultancies and developers.
- Ollama's recent update allows local cloud code execution.
- Your code can now stay on your machine for privacy.
- Many tools send code to APIs, creating compliance issues.
- Client contracts often restrict sending data to third parties.
Tags
Repurpose Ideas
- LinkedIn post: Benefits of running AI code locally for compliance
- Tweet: Key compliance risks of cloud code usage
- Checklist: Steps to implement local AI code execution
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