Static Analysis Without Sending Your Code to the Cloud: Building KCode

📰 Dev.to · GaltRanch

Learn how KCode enables static analysis without sending code to the cloud, using a local LLM verifier, and its revenue implications

intermediate Published 21 May 2026

Action Steps

Build a local LLM verifier using KCode's approach to analyze code without cloud dependency
Run F1 0.96 metrics to evaluate the effectiveness of the local LLM verifier
Configure KCode to integrate with existing development workflows
Test KCode's static analysis capabilities on sample codebases
Compare KCode's revenue model with other cloud-based static analysis tools

Who Needs to Know This

Development teams and security engineers can benefit from KCode's local static analysis, ensuring code security without compromising on data privacy

Key Insight

💡 Local LLM verifiers can provide effective static analysis without compromising on data privacy, as demonstrated by KCode

Key Takeaways

Learn how KCode enables static analysis without sending code to the cloud, using a local LLM verifier, and its revenue implications

Full Article

Snyk, SonarQube Cloud, GitHub Advanced Security — all ask the same thing. For a lot of teams, that's not negotiable. How we built KCode with a local LLM verifier, what F1 0.96 actually buys you, and the honest revenue numbers behind it.

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