CloudByte PMS ✓

Governance, Security & Cost Tracking for AI Coding Agents

Source rating 5.0 (1) 213 views 3 saves Freemium

Verdict

A quick read before you dig into the full page.

Best if

Governance, Security & Cost Tracking for AI Coding Agents

Skip if

Limited to selected platforms

Pick this when

Comprehensive various metrics tracking

Overview

CloudByte PMS is the execution-visibility and governance layer for AI coding agents - built for engineering leaders accountable for delivery, spend, and risk.

AI agents now write the majority of new code in AI-forward teams, but each tool — Claude Code, Cursor, GitHub Copilot — ships its own console, logs, and billing. Nothing rolls up, and the people accountable for the output are the last to see it.

CloudByte PMS fixes that with a lightweight background agent that installs in under 15 minutes and captures everything automatically — zero developer reporting required. Every prompt, tool call, commit, and token is classified and correlated into a single trace: prompt → reasoning → commit → deploy.

What you get:

Execution visibility — real-time activity, stuck-session detection, DORA metrics, drill-down from a headline to the exact prompt behind it
Cost tracking — token-level spend per developer, project, and model, with duplicate-spend detection
Governance & security — sensitive-data scanning before prompts leave the developer's machine, SOP compliance scoring, full audit trail
Knowledge capture — auto-extracted, searchable knowledge base built from real engineering work, not manual wikis

Supports Claude Code, Cursor, GitHub Copilot, and more, with Jira and Git integration. Free for teams up to 5 developers; paid plans for growing and enterprise orgs.

Access & connections

Where you can use CloudByte PMS, and what it plugs into.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

API
Text

Output

Tabular
API

Pros & cons

Pros

Comprehensive various metrics tracking
Seamless workflow integration
Operational within 10 minutes
No workflow change required
Supports multiple platforms
Captures every developer signal
Real-time tracking of ROI
Prompt pattern clustering

Show 29 more

Provides finance-friendly forms
Detects sensitive information
High-grade security measures
Google SSO security
Magic Link OAuth 2.0 PKCE
Role-Based Access Control
Multi-Project Tenancy
Tracks token spend per project
Works with GitHub, GitLab, Bitbucket
Supports Linear and Jira
Tracks commit velocity
Session depth analysis
Hours-saved tracking
Access Control per role
Analytics into developer efficiency
Visibility into project efficiency
Process efficiency estimation
Developer activity and adoption heatmap
In-built Proof of adoption
Zero workflow change setup
Automatic session, commit, prompt tracking
Live real-time updates
Simplified expenditure and ROI presentation
Cross-team data isolation
Domain-restricted access
Automatic sensitive prompts flagging
Enterprise-grade API architecture
Automatic prompt-caching efficiency analysis
Token spend by developer analytics

Cons

No mobile support
Requires constant internet connection
Commit summaries may be inaccurate
May mark false positives for sensitive information
No multi-language support
No offline mode
Limited to selected platforms
No custom integration options

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10-minute setup could hinder productivity
Security relies heavily on third-parties

FAQ 12

Which AI coding tools does it support?

Pranav Lakhani
🛠️ 1
tool
wrote:
Claude Code and Cursor today, with deep session telemetry on both. Git (local and remote), Jira, and CI signals are also connected for DORA metrics. Additional agent platforms are added on the same unified schema.

What data does it store — do you see our source code?

Pranav Lakhani
🛠️ 1
tool
wrote:
CloudByte PMS stores prompts, session metadata, diff summaries, and file paths — not your full repository. Data is org-isolated and encrypted, with configurable retention windows.

How long does setup take?

Pranav Lakhani
🛠️ 1
tool
wrote:
Under 15 minutes per developer. No code changes and no workflow changes - a lightweight sync agent installs and activity starts flowing automatically.

Is there a free plan?

Pranav Lakhani
🛠️ 1
tool
wrote:
Yes - free for teams up to 5 developers, with dashboard access, agent status, basic insights, and 30-day history.

Can we self-host or choose our data region?

Pranav Lakhani
🛠️ 1
tool
wrote:
The SaaS product runs on AWS (ap-south-1) today. Dedicated-region hosting and private/self-hosted deployment are available on the Enterprise tier. We will have a options for Bring your own Database for 50+ Licenses models.

Does it slow developers down or add reporting work?

Pranav Lakhani
🛠️ 1
tool
wrote:
No. Everything is captured automatically at the source - there's no manual status update, no form to fill in, no change to how developers already work.

Who is this for?

Pranav Lakhani
🛠️ 1
tool
wrote:
Engineering managers, CTOs, VPs of Engineering, and tech leads at teams using AI coding assistants who need visibility into usage, spend, and delivery — without micromanaging.

How do you prevent secrets or credentials from leaking into AI prompts?

Pranav Lakhani
🛠️ 1
tool
wrote:
A pre-send secret scanner runs on the developer's machine before any prompt reaches an AI model or a commit — catching cloud keys, payment tokens, and auth credentials before they leave. Detection is tunable across three policy levels (Minimal, Standard, Strict), including entropy-based detection for unknown services and PII scanning at the strictest tier.

What access controls are in place?

Pranav Lakhani
🛠️ 1
tool
wrote:
Role-based access control with four tiers - Super Admin, Org Admin, Reviewer, Standard - enforced server-side, never trusted to the client.

Do you have an audit trail for compliance/security reviews?

Pranav Lakhani
🛠️ 1
tool
wrote:
Yes. The full provenance trail - prompt → reasoning → commit → deploy - doubles as your AI-change audit log, built for exactly the question auditors and security teams are starting to ask: "which AI wrote this change, and from what instruction?"

What security measures does CloudByte PMS uphold?

CloudByte PMS follows high-grade security measures including Google SSO, Magic Link OAuth 2.0 PKCE, Role-Based Access Control, and Multi-Project Tenancy.

What role-based access controls does CloudByte PMS include?

CloudByte PMS includes Role-Based Access Control where permissions are assigned per role such as Super Admin, Org Admin, Reviewer, and Standard.

CloudByte PMS ✓

Verdict

Overview