Show HN: I nerfed our coding agents on purpose

Category: devtools

Tags: ai, token-optimization, coding-agent

Score: 5.7/10 (Innovation: 5, Technical: 6, Documentation: 3, Utility: 6)

This project provides a tool that classifies AI coding requests to route them to the least expensive model and reasoning depth, reducing token spend and improving speed. It is interesting because it addresses a practical pain point for teams using coding agents like Codex, offering a way to maximize usage within budget constraints.

Target audience: backend devs, devops, data engineers

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