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Codag is a developer tool that helps coding agents process large tool outputs more efficiently. It reduces excessive context from test results, build and lint logs, search results, file listings, document reads, and agent handoffs, allowing AI coding assistants to focus on relevant failures, matches, and signal lines. (codag.ai)
Codag works with Claude Code and Codex through a local proxy while keeping the same models, prompts, provider accounts, and development workflow. Large eligible outputs are shortened before reaching the agent, while omitted content remains encrypted on the local machine and can be retrieved exactly when needed. Source code, diffs, configuration files, and exact structured data pass through unchanged. (codag.ai)
The platform also provides usage analytics for tracking agent tokens avoided, output reductions, retrievals, and estimated savings. Codag is designed for developers and engineering teams seeking context optimization, lower coding-agent costs, and more efficient AI-assisted software development without changing their existing tools or workflows. (codag.ai)
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