Session 18: Using AI in Your Cardano Dev Workflow - Resources
Curated tools and references for building on Cardano with AI assistance.
AI Coding Assistants
- Claude Code: CLI/agent assistant with support for skills, rules, and sub-agents.
- Cursor: AI-native editor with rules and MCP support.
- Kiro: Agentic IDE used in the live demo for adding skills and MCP servers (per project, per user, or global).
- Gemini: Often produces an implementation plan before writing code.
MCP & Skills
- Model Context Protocol: The open standard that lets assistants query live, version-accurate documentation and tools.
- Mesh SDK: Ships installable skills, an MCP server, and a downloadable skills file for AI-assisted Mesh development.
- Aiken: On-chain language used in the test-driven validator workflow described in the notes.
Cardano SDKs & Languages Referenced
- Off-chain / SDKs: Mesh, Lucid Evolution, Blaze
- On-chain: Aiken, Plutus / Plinth, plus higher-level approaches TX3 and Scalus
Local Models (Token Savings)
- Ollama: Run open models locally.
- Qwen and Gemma: Open models suitable for simpler, lower-cost tasks.
Emerging Tools
- Git Nexus: Bring-your-own-LLM tool that connects multiple MCP servers and builds Obsidian-style mind maps of a codebase. (Mentioned as a lead to explore.)
Security & Cost Concepts
- CIP-30 (Wallet Bridge): How dApps talk to wallets.
- CIP-68 (Datum Metadata Standard): Datum metadata token standard, useful when modeling on-chain state.
- Double satisfaction & common vulnerabilities: Review every AI-generated validator for signatory checks, output pinning (address, quantity, policy ID), and execution-unit cost before production.
These resources belong to the Q2 2026 Developer Experience Working Group.