Dev Builds Open-Source Context Layer to Boost AI Coding Agent Efficiency

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A solo developer has released an open-source tool called Context Gateway, designed to sit between AI coding agents and codebases. The system classifies intent, plans multi-source retrieval, and ranks context using five factors including graph centrality and semantic similarity. It also compresses data to fit token budgets and detects when multiple agents attempt to modify the same file simultaneously. Persistent memory allows agents to retain information about a codebase across sessions. The developer reports a measured 65% reduction in token usage.

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