How to Build an Egress Gate to Audit What You Send AI Coding Assistants

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A new technical guide argues that developers should focus less on AI capability debates and more on controlling what data leaves their machines when using coding assistants. The article introduces the concept of a 'context bundle' — the files and code snippets sent in an AI request — and proposes classifying its contents before transmission. It outlines a four-class threat model covering live credentials, internal infrastructure details, personal data, and unresolved security notes, each mapped to a specific action such as deny, redact, or warn. The guide also proposes a hash-chained audit ledger so developers can replay and verify what was sent months after the fact. The article was disclosed as part of promotional outreach for MonkeyCode, a platform offering free model access and server options.

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