Hey Product Hunt! I’m Utsav, the maker of Packet28. I built Packet28 because I kept running into the same problem with AI coding tools: the model would spend too much of its context window on raw repo noise — diffs, logs, coverage output, test results, and other artifacts that are useful, but not in their raw form. As tasks got longer, performance got worse, token usage went up, and the agent lost focus. Packet28 is designed to solve that. It turns noisy developer signals into compact, structured context packets so coding agents can work with the information that matters, without getting overwhelmed by everything else. What started as a small utility became a bigger idea: a context layer for AI-assisted development. The goal is to help agents stay reliable over longer workflows while reducing wasted context and token spend. I’m sharing this early because I’d love feedback from people building with AI developer tools every day. If you use Claude Code, Codex, Cursor, or similar workflows, I’d especially love to hear how you’re handling context, tool output, and long-running tasks.

Packet28

Context OS for AI coding agents

Context OS for AI coding agents