This is a submission for the GitHub Copilot CLI Challenge
Transform amateur prompts into professional-grade AI instructions in seconds
Stop wasting time and tokens on ineffective prompts. EasyPrompt uses scientifically-proven prompt engineering techniques to transform your AI interactions across ChatGPT, Claude, Gemini, and other Large Language Models.
EasyPrompt is a production-ready platform that analyzes, optimizes, and compares AI prompts across multiple providers. Built with Next.js 16, React 19, and TypeScript, it democratizes prompt engineering expertise, turning anyone into an effective AI user.
*Key Features
*
🧠Deep Analysis Engine
- Analyzes 7 critical metrics: clarity, specificity, structure, context, constraints, output format, and edge cases
- Provides actionable feedback with improvement scores (0-100)
- Scientific rubric used by professional prompt engineers
🎨 Smart Optimization
- AI-powered rewriting preserving your intent
- Uses advanced techniques: chain-of-thought, few-shot learning, role-playing
- Explains what changed and why it matters
🔄 Multi-Provider Support
- Supports 4 major AI providers: Anthropic Claude, OpenAI GPT, Google Gemini, Ollama
- Real-time provider health monitoring with latency tracking
- Side-by-side comparison to find the best provider for your use case
đź”’ Enterprise-Grade Security
- Rate limiting (100 requests/min) with Upstash Redis
- Comprehensive security headers (CSP, HSTS, X-Frame-Options)
- Input validation and sanitization
- Secure API key management
đź“Š Provider Insights
- Real-time health checks and status monitoring
- Latency tracking across providers
- Model availability and pricing information
✨ Features
- Multi-Provider Support: Works with Anthropic Claude, OpenAI, Google Gemini, Ollama, and more (7 providers total)
- Intelligent Analysis: Analyzes prompt quality, clarity, structure, and specificity with detailed scoring
- Smart Optimization: Automatically rewrites prompts using best practices with explanations
- Real-time Feedback: Get instant suggestions and improvements as you work
- Provider Comparison: Compare optimization results across multiple AI providers side-by-side
- Provider Monitoring: Real-time health checks, latency tracking, and model availability
- Security First: Rate limiting, input validation, and secure API key management
Demo
Vercel link: https://easyprompt-react.vercel.app/
Video link: https://youtu.be/sSKB-uyGd4k?si=w1jO6IbKW-cP3Nrm
Github repo: https://github.com/ifwan87/easyprompt-react.git
My Experience with GitHub Copilot CLI
Building EasyPrompt with GitHub Copilot CLI was a game-changer. This AI prompt optimization platform faced several deployment issues that Copilot quickly resolved.
Debugging & Deployment
- Fixed Prisma client generation by adding a missing postinstall script.
- Resolved TypeScript and routing errors through automated type checks, log placement, and env validation.
- Streamlined production setup by disabling local-only and incompatible providers (Ollama, Google Gemini) and skipping nonessential health checks on Vercel.
Code Navigation & Optimization
- Located critical files and environment variables instantly using grep/glob commands.
- Simplified configuration across multiple AI providers (Google, OpenRouter, Anthropic).
- Set default models (OpenRouter + Llama 3.1 8B) for smooth user experience.
Git Workflow Efficiency
- Synced dual repositories (easyprompt & easyprompt-react) automatically.
- Generated clear commit messages and handled GitHub → Vercel deployments seamlessly.
Impact
Tasks that would’ve taken 4–6 hours were done in under 2 hours. Copilot CLI didn’t just write code—it understood the deployment context, diagnosed production issues, and delivered precise fixes.
âś… Live app: https://easyprompt-react.vercel.app
Top comments (2)
Nice
Good Work ! loved the idea !