CloudByte PMS

CloudByte PMS is a monitoring dashboard built for engineering teams that use AI coding assistants like Claude Code. It automatically captures every session, prompt, and commit from each developer's machine and turns that data into a single view of who is using AI, how much it costs, and whether your team is following your engineering process. No changes to how your developers work — just install a lightweight agent and within ten minutes you can see real-time metrics on token spend, per-developer activity, and compliance scores.

The tool stands out because it connects directly to the same sources your developers already use: Claude Code sessions, GitHub/GitLab/Bitbucket repos, and project management tools like Linear and Jira. Every commit gets an AI-generated summary — Claude Sonnet 4.6 reads the diff and writes a short description so you can scan recent changes without diving into the code. The compliance engine scores each ticket against your standard operating procedures, flagging gaps before code ships. You can also see per-developer efficiency trends, cache-hit ratios on prompts, and live spend attribution broken down by model (Opus, Sonnet, Haiku) and by person.

This is a tool for engineering managers, team leads, and anyone responsible for AI governance and cost control on a development team. If you've adopted Claude Code or similar AI coding tools and want visibility into how they're actually being used — who's overusing certain models, where spend is growing, whether tickets are following your process — CloudByte PMS gives you that data without adding overhead for developers. It also helps security teams by tracking agent health (online, stale, offline) and flagging silent failures in the sync pipeline.