CloudByte PMS

CloudByte PMS

Free Trial

CloudByte PMS helps engineering teams measure and improve AI adoption and efficiency. Track token spend, session depth, and commit velocity for Claude Code.

CloudByte PMS screenshot

CloudByte PMS provides deep insights into your engineering team's AI adoption and efficiency, specifically for Claude Code. You gain a clear understanding of how your team interacts with AI tools, tracking every session, prompt, and commit automatically. This means you can see the real impact of AI on your projects without any disruption to your existing workflows. The platform integrates seamlessly with your development tools, offering live data within minutes.

You get a comprehensive view of AI usage, including token spend per project, session depth, and commit velocity. This data helps you identify areas of high AI engagement and optimize your AI strategy. Understand your return on investment by seeing hours saved and the value generated by AI. Prompt pattern clustering helps you understand the types of tasks your team is using AI for, allowing for better resource allocation and training.

CloudByte PMS focuses on three key pillars of AI engineering efficiency: AI Efficiency, Developer Efficiency, and Project Efficiency. By capturing every signal from every developer, you get a unified view of AI's contribution to your team's output. This visibility empowers you to make data-driven decisions about AI tool selection, training, and integration, ensuring your team gets the most value from its AI investments.

Security is also a core consideration. CloudByte PMS ensures your Anthropic key and spend remain secure, giving you peace of mind. The platform is designed for quick setup, often live in 10 minutes, and requires no credit card for initial use. Start optimizing your team's AI usage today and drive greater engineering productivity.

Use Cases

• Track Claude Code token spend per project. • Measure session depth and prompt frequency. • Monitor commit velocity and AI's impact on sprints. • Analyze AI adoption across engineering teams. • Identify prompt patterns for workflow optimization. • Estimate ROI and hours saved through AI usage.

Rates and comments

No comments yet.

Articles