Cut your AI coding bill Today. Every Day.
Fully integrated with Claude Code, Codex, and Cursor.
Watch.
There's a subtle race I want to walk through quickly. Two concurrent webhook deliveries could double-charge a user. The window is small but real. It's observable under bursty load. The fix uses a familiar tool. A database advisory lock keyed on the order ID closes the window. And I made sure we can prove it. A new stress test reproduces the race deterministically.
Long story short.
That's the whole pitch.
Poco AI 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.