CloudByte PMS's answer

• Backend: Node.js + PostgreSQL + VectorDB
• Dashboard: React + TypeScript
• Deployment: Docker, AWS infrastructure managed with Terraform
• Integrations: native Claude Code hooks and the Anthropic API (BYOK) Cursor Integration

ForthWrite's answer:

Next.js, React, Supabase, Anthropic Claude, OpenAI, Stripe, Vercel, Chrome Extensions API

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 — prompts, responses, tokens, commits, and machine health — and surfaces it in one org-scoped dashboard with RBAC.

What no generic engineering-analytics tool gives you:

• Session-level telemetry — not just that AI tools are used, but how, by whom, and at what cost
• Per-developer adoption and cost per session, per project, per PR
• Ghost-seat detection — find paid seats nobody is using
• Prompt governance and a shared skills library across the team

ForthWrite's answer:

ForthWrite learns your writing style from your actual sent mail, not a generic prompt. Every draft sounds like you wrote it because it was trained on how you actually write. It also auto-drafts replies before you open your inbox, so your email is partially handled before your day starts.

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 — Claude Code, GitHub Copilot, and Cursor in one dashboard.

• Commit-level AI attribution — AI-assisted vs. not, for the same developer
• DORA-metric correlation with AI-assisted commit ratios
• Ghost-seat detection and cost tracking across all four Anthropic token types
• BYOK Anthropic keys, self-hosted, and air-gapped deployment for stricter environments
• Free for teams up to 5 developers

ForthWrite's answer:

Most AI email tools give you a blank box and a "write for me" button. ForthWrite builds a voice profile from your sent history and gets more accurate with every draft you edit or send. Unlike ChatGPT or Gemini, it works natively inside Gmail and Outlook with no copy-paste. Unlike Lavender, it writes the draft, not just scores it.

CloudByte PMS's answer

Engineering managers and CTOs at software teams of 10–200 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.

ForthWrite's answer:

Professionals who send high volumes of relationship-critical email and cannot afford to sound generic: lawyers, financial advisors, recruiters, account executives, consultants, and founders managing their own inbox.

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 — 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 — telemetry, security, and governance in one place — 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 — built to make AI-assisted engineering visible, accountable, and safe for everyone.

ForthWrite's answer:

Built out of frustration with AI writing tools that produce text that sounds nothing like the person sending it, and as a way to handle large amounts of daily email. The core insight was that your sent mail is the best training data you already have, and no tool was using it.