
Waydev
LinearB
GitPrime
Swarmia
Haystack Analytics
CodeClimate
OKAY HQ
66Analytics
CloudByte PMS
Jellyfish.ai
GitHub Copilot
Cursor
Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.
CloudByte PMS is the analytics and management layer for AI-assisted engineering teams. A lightweight sync agent captures every Claude Code, GitHub Copilot, and Cursor session โ prompts, responses, tokens, commits, and machine health โ and surfaces per-developer adoption, cost per session/PR, ghost-seat detection, and prompt governance in one org-scoped dashboard with RBAC. BYOK Anthropic keys, self-host and air-gap options. Free for teams up to 5 developers.
What it measures
Governance and security
Integrations
Claude Code ยท GitHub Copilot ยท Cursor ยท GitHub ยท GitLab ยท Bitbucket ยท Linear ยท Jira ยท Slack ยท Anthropic API (BYOK)
Waydev
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CloudByte PMS's answer:
CloudByte PMS is the analytics and management layer for AI-assisted engineering teams. A lightweight sync agent captures every Claude Code, GitHub Copilot, and Cursor session โ prompts, responses, tokens, commits, and machine health โ and surfaces it in one org-scoped dashboard with RBAC.
What no generic engineering-analytics tool gives you:
CloudByte PMS's answer:
Platforms like Jellyfish measure engineering output broadly; native Copilot analytics only cover Copilot. CloudByte PMS is purpose-built for AI coding telemetry across tools โ Claude Code, GitHub Copilot, and Cursor in one dashboard.
CloudByte PMS's answer:
Engineering managers and CTOs at software teams of 10โ200 developers who have rolled out AI coding tools and now need to answer: who's actually using them, what are they costing, which seats are idle, and is delivery actually improving? Reviewers and platform teams also use it for prompt governance and auditing.
CloudByte PMS's answer:
CloudByte PMS's answer:
CloudByte PMS started when Pranav and Brijesh saw the same pattern across every engineering team adopting AI coding tools: shadow AI everywhere, costs nobody could track, and usage data trapped in silos โ one tool per vendor dashboard, no single picture of what developers were actually doing.
They believed this problem deserved more than a point solution. Their vision: a common platform for AI engineering โ telemetry, security, and governance in one place โ where every team, whatever tools they use, can see adoption, control costs, and set guardrails without slowing developers down.
That vision became CloudByte PMS: a lightweight sync agent capturing every Claude Code, GitHub Copilot, and Cursor session, prompt, and commit into one org-scoped dashboard โ built to make AI-assisted engineering visible, accountable, and safe for everyone.
Based on our record, Waydev seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on the fence looking for resources and tools that will help to slowly execute and implement these changes. With regards to resources, I am currently looking at the scrum guide and with... Source: about 4 years ago
When youโre ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / almost 5 years ago
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