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Tailwind CSS
Angular.io
Node.js
AngularJS
CloudByte PMS
Jellyfish.ai
GitHub Copilot
Cursor
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)
React
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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, React seems to be more popular. It has been mentiond 818 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.
Let's start by preparing a sample application that we want to place in a Docker image. This will be a web application created using the React framework and its create-react-app tool. It will generate a code template and configuration, allowing us to focus on the image creation aspects. - Source: dev.to / about 1 year ago
Python integrates seamlessly with machine learning (TensorFlow, PyTorch) and data analytics stacks (Pandas). Node.js integrates better with frontend JS ecosystems like React, Vue, and Next.js. - Source: dev.to / 10 months ago
Dora AI exemplifies this. Allan Murphy Bruun adds, "What makes it different is its context-aware logic stitching that understands user flows beyond just UI elements." By analyzing Figma designs, it generates React code with state management, saving hours in development. - Source: dev.to / 12 months ago
Import { createFileRoute } from "@tanstack/react-router"; Import logo from "../../logo.svg"; Import "../../App.css"; Export const Route = createFileRoute("/_authenticated/")({ component: AuthenticatedRoute, }); Function AuthenticatedRoute() { return (- Source: dev.to / about 1 year ago![]()
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One inspiring example is a developer building a "Todoist Clone" using a combination of React, Node.js, and MongoDB. The developer tapped into open source libraries and community support to create a highly responsive task management application. This project underscores how indie hackers can achieve rapid development and adaptation with minimal budget โ a theme echoed in several indie hacking success stories. - Source: dev.to / over 1 year ago
Vue.js - Reactive Components for Modern Web Interfaces
Jellyfish.ai - Anti-spam email addon. Secure your email with the smartest AI anti-spam filter.
Next.js - A small framework for server-rendered universal JavaScript apps
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Svelte - Cybernetically enhanced web apps
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.