Building the DataFeeds "Control Room": Internal Monitoring with Cursor & Sports Data 🛠️

Описание: Abel (Rolling Insights Dev) takes us behind the scenes to show how we built Control Room our new internal monitoring tool. Inspired by the live scores page on our website, Control Room allows our team to monitor hundreds of games at once, visually flagging late starts, data errors, and duplicate entries in real-time.

Abel walks through the entire build process using Cursor and explains how to use AI agents to prototype complex tools in hours rather than days. Whether you're a seasoned developer or a "vibe coder," learn how to break down project goals into small tasks, use AI for UI design, and ensure your code is production-ready.

Key Takeaways:
Visual Hierarchy: Why we chose a monochrome UI to make data issues "pop" with color.
Prototyping with AI: Using Cursor’s Agent and Ask modes to set up React projects with Vite.
Breaking Down Tasks: The "UI First, Functionality Second" approach to building with AI.
Internal Tooling: Connecting the Data Feeds API and Customer Care portals to a single dashboard.
Developer Best Practices: Why frequent Git commits are non-negotiable when working with AI agents.


1:45 – Inspiration: From public Live Scores to an internal dashboard
2:30 – The "Control Room" Philosophy: Monochrome UI for error detection
3:50 – Live Demo: Visualizing late games and missing player data
5:10 – Improving Internal Workflow: From manual checks to automated flags
6:30 – Building with Cursor: The AI-first development environment
8:20 – Tech Stack Choices: Why AI suggested Vite over Create React App
9:45 – The Build Process: Splitting front-end UI from back-end logic
11:00 – Working with Sample Data: Keeping the AI focused during the build
12:30 – AI Design: Letting Cursor handle the minimal UI styling
14:00 – Implementing Real-Time Data: Refreshing the API every 30 seconds
16:00 – Using "Plan Mode" for large, vague project visions
17:30 – Adding Features: Status badges for Customer Care tickets & Duplicates
19:15 – Integrating Multiple APIs: Data Feeds + Support Portals
21:00 – Critical Tips: Git commits and the risk of "Undo" loops with AI
22:30 – Cybersecurity: Making sure your AI-generated code is production-ready
24:00 – How you can build this: Accessing API Locker for your own sports data


Resources:
🔗 30-day DataFeeds API Free Trial: rolling-insights.com/datafeeds
🔗 Follow Rolling Insights for Dev Livestreams:   / rollinginsight  


#SportsData #SportsAPI #CursorAI #ReactJS #SportsData #InternalTools #aiprogramming #Vite #WebDev