If you run an AI agent, your token bill lives in your source code — in prompts, tool descriptions,...
Wartzar-bee released ci-guardrail, a GitHub Action that flags token-cost delta per PR and blocks merge if growth exceeds threshold. For AI-agent teams, it surfaces invisible regressions in prompts and context that escape review but re-send daily and stack cost.
If you run an AI agent, your token bill lives in your source code — in prompts, tool
descriptions, and how much context you re-send every turn. And source code changes in pull
requests. So the natural place to catch a cost regression is the same place you catch a bug:
in CI, on the PR, before it merges.
I learned this the expensive way. We once
Last year a team shipped a "small prompt improvement" on a Friday. By Monday their Claude bill had...
Build an AI coding agent cost ledger to track tokens, cache misses, idle waits, model routes, PR evidence, and expensive sessions…
The Problem Nobody Talks About Most teams building agents watch their token costs climb...
Almost all of your AI coding agent's token waste comes from five mechanical leaks — cache misses, context bloat, idle MCP…
A practitioner's guide to getting more value out of AI coding agents — drawn from a GitHub workshop on agent quality and token…
I didn't. For weeks, I ran Claude Code sessions that cost 30K to 100K tokens without checking. Some...
