CloudByte PMS
Jellyfish.ai
GitHub Copilot
Cursor
LinearB
Waydev
Swarmia
CodeClimate
GitPrime
Haystack Analytics
Codacy
SonarQube
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)
CloudByte PMS LinearBLinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.
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, LinearB seems to be more popular. It has been mentiond 28 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.
LinearB is an engineering productivity platform that provides visibility into developer workflows, automation, and process metrics. It collects data across the entire development lifecycle to diagnose blockers and optimize delivery. One user reports saving 321 developer-hours per month. - Source: dev.to / 3 months ago
Most tools measure half the picture. Traditional metrics platforms like LinearB focus on quantitative signals (DORA metrics, cycle time). Survey platforms like Culture Amp capture sentiment across organizations but aren't developer-specific. DX (founded by DORA/SPACE research creators) combines developer surveys with SDLC analytics. These approaches require deliberate implementation and buy-in. - Source: dev.to / 7 months ago
LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 2 years ago
In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / about 3 years ago
LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: about 3 years ago
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