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Fully integrated with Claude Code, Codex, and Cursor.
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Walking through the prioritization framework once more. The scoring favors recurring revenue impact. Three items rise to the top right now. SSO, audit logs, and team-level billing score highest. Of those, one has a head start. SSO is the only one already mid-build. So I'd like us to commit to the next one. Audit logs should be the next feature in line.
Long story short.
That's the whole pitch.
Poco makes AI coding agents cheaper by compressing their context - it trims the redundant parts of what your agent sends to the model, cutting token usage and cost while keeping the meaning intact.
Poco compresses each prompt before it reaches the model, so you spend fewer tokens while the meaning is preserved.
Yes, up to 70% fewer tokens. When your agent opens a document like a PDF, Word, PowerPoint, or Excel file, Poco converts it into a lean, text-based format that's easier and cheaper for LLMs to process.
Claude Code, Codex, and Cursor, through their hook systems. The one-line install detects the agents you use and sets them up.
Poco sees everything your AI coding agent sends to the model.
Before your prompt is sent to Poco's servers, Poco redacts common secrets and identifiers - like API keys, access tokens, email addresses, credit card numbers, and SSNs - replacing them with placeholders. It is pattern-based, so treat it as a safety net rather than a guarantee that every piece of sensitive data is caught.