Cut your AI coding bill Today. Every Day.
Poco makes AI coding agents cheaper by compressing their context. Fewer tokens, same meaning, lower bills. Set up in one command.
Fully integrated with Claude Code, Codex, and Cursor.
Watch.
I want to walk through this because the result surprised us. The timezone bug originated in the seed data. In hindsight the repro steps were obvious. It only fired on the first day of a month. The fix itself is trivial. It's a one-line change in the migration script. The harder problem is the one going forward. Preventing the same shape of bug is the real work.
Long story short.
That's the whole pitch.
Questions
What is Poco?
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.
How does Poco reduce token usage and cost?
Poco compresses each prompt before it reaches the model, so you spend fewer tokens while the meaning is preserved.
Does Poco save tokens on documents my agent reads?
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.
Which AI coding agents does Poco work with?
Claude Code, Codex, and Cursor, through their hook systems. The one-line install detects the agents you use and sets them up.
What does Poco see?
Poco sees everything your AI coding agent sends to the model.
What about secrets and personal data in my prompts?
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.