Faturrachman

CursorView: AI-Powered Chat Session Explorer

A web application that allows users to seamlessly browse, search, and manage all their Cursor AI chat sessions aggregated across multiple projects from a centralized interface.

The Challenge

• Developers using Cursor often need a more robust and visually intuitive way to browse and manage their extensive chat session histories
• Inability to comprehensively export Cursor chat sessions with detailed agent interactions
• Difficulty extracting actionable insights from AI coding conversations

The Solution

• Elegant and intuitive web application for chat session management
• Detailed chat view with rich metadata and MCP interaction display
• Integrated AI assistant that analyzes chat content and provides valuable insights

Key Features

• AI-Powered Conversation Analysis: Insights on prompt effectiveness and interaction patterns
• Comprehensive Chat Export: Full export capabilities including MCP interactions and tool calls
• Enhanced Visualization & Readability: Modern, clean UI for superior chat log viewing

AI Generated Images Gallery

A showcase of AI-generated images along with the exact prompts used to create them, demonstrating advanced prompt engineering techniques for image generation models.

The Challenge

• Creating visually compelling images using text-to-image AI models requires specialized prompt engineering skills
• Different AI image models respond to prompt structures in unique ways
• Lack of transparent examples showing prompts alongside results

The Solution

• Curated gallery of AI-generated images paired with their prompts
• Demonstration of effective prompt structures for various styles and subjects
• Educational resource for others learning prompt engineering

Key Features

• Comprehensive prompt analysis and breakdown
• Comparison of different AI models with the same prompts
• Categorized image collection spanning multiple styles and subjects

AI Agents Application

A modular platform for deploying, configuring, and orchestrating specialized AI agents that can perform a variety of tasks autonomously or semi-autonomously.

The Challenge

• Creating reliable and specialized AI agents requires significant prompt engineering expertise
• Managing multiple agents with different capabilities presents coordination challenges
• Ensuring consistent performance across different LLM backends

The Solution

• Unified platform for deploying and managing purpose-built AI agents
• System for composing multiple agents into workflows
• Standardized prompt templates and evaluation frameworks

Key Features

• Library of pre-built agent templates for common tasks
• Visual workflow designer for agent composition
• Performance monitoring and prompt optimization tools