Skip to main content

Project 001: Uniserv NFT Carbon Credit System

๐Ÿ”— Navigation: ๐Ÿ“‹ INDEX | ๐Ÿ“ Diary | ๐Ÿ” Analysis | ๐Ÿ“Š Reports | ๐Ÿ“– Story


Duration: May 30 - June 10, 2025 (11 days)
Type: AI-Human Collaborative Development
Outcome: Production-ready multi-chain NFT system

Project Summaryโ€‹

Built a complete NFT carbon credit system with smart contracts, multi-chain deployment, and comprehensive frontend interfaces through intensive AI-human collaboration.

Technical Achievementsโ€‹

  • Smart Contracts: ERC721 with carbon credit functionality
  • Multi-Chain: Deterministic deployment on Sichang and JBC chains
  • Performance: 90% load time improvement through Multicall3
  • Interfaces: 6 production-ready HTML applications

Development Metricsโ€‹

  • 181 Git Commits: Complete development history
  • 41 AI Session Documents: Comprehensive collaboration logs
  • 13+ Sessions: Intensive problem-solving cycles
  • 37,396 Words: Technical documentation

Key Files in This Archiveโ€‹

๐Ÿ“ Development Diaryโ€‹

๐Ÿ” Analysis Reportsโ€‹

๐Ÿ“Š Project Reportsโ€‹

๐Ÿ“– Complete Storyโ€‹

๐Ÿ› ๏ธ Data & Toolsโ€‹

๐ŸŽฏ Quick Reading Pathsโ€‹

Executive Overview (15 min): Project Report โ†’ Technical Achievements
Collaboration Study (30 min): Honest Reflection โ†’ Collaboration Insights
Technical Deep Dive (45 min): Technical Evolution โ†’ Challenges & Solutions
Complete Experience (2 hours): Full Story โ†’ Session by Session

Collaboration Insightsโ€‹

Communication Evolutionโ€‹

  • Early: Long explanations โ†’ Later: Direct execution
  • Pattern: "Deploy and mint all" โ†’ Immediate implementation
  • Challenge: No validation feedback loop

Technical Decisionsโ€‹

  • Hardhat โ†’ Foundry: 10x development velocity improvement
  • Web3.js โ†’ Viem: Modern TypeScript-first approach
  • Sequential โ†’ Multicall3: 90% performance optimization

Success Factorsโ€‹

  • Clear success criteria (working interface = good)
  • Rapid iteration cycles (fix-test-deploy in minutes)
  • High standards for user experience
  • Focus on practical solutions over theoretical perfection

Challengesโ€‹

  • Communication style mismatch (AI seeking validation vs human wanting results)
  • Unclear requirements and scope changes
  • Pressure for immediate solutions to complex problems
  • Purely transactional relationship despite technical success

Project Impactโ€‹

This project demonstrates the potential of AI-human collaboration in software development:

  • 11 days vs traditional 3-6 months development timeline
  • Production-ready system with comprehensive testing
  • Multi-chain deployment with identical contract addresses
  • Complete user ecosystem with 6 different interfaces

This archive captures both the technical achievements and the human dynamics of an intensive AI-human collaboration that produced remarkable results in a compressed timeframe.