Leangetic aims to cut AI agent costs without changing behavior
Leangetic is a tool for teams whose AI agents are becoming costly, slow, or hard to control in production. Many agents call an LLM for nearly every step, even when the work is ordinary software logic such as parsing, routing, validation, formatting, retries, or repeated context handling. Leangetic watches how an agent runs and finds that are expensive or repeated.
It then builds a hybrid version: for safe routine steps, smaller focused where AI is still needed, and caching, prompt compaction, or where useful. The original agent is not directly changed. The CLI starts locally in shadow mode and only promotes changes after they prove cheaper with equal-or-better quality on the team’s own traffic.
If there is doubt, it falls back to the original agent and allows instant rollback.
Key points
- It targets waste from using an LLM for routine software steps.
- It profiles real agent runs to find expensive or repeated .
- It replaces safe routine work with .
- It keeps smaller where AI judgment is still needed.
- It uses shadow mode, fallback, and rollback to reduce deployment risk.