Software Stack

This page documents the software tools and frameworks that power my AI development workflow.

Development Environment

AI Development Tools

  • Cursor (with Claude integration for coding)
  • VS Code (backup editor)
  • Git & GitHub (version control)
  • GitHub Apps - Secure repository integration for automation
  • Hugo (static site generation)

Local AI Models

  • [To be documented as I set up local LLM infrastructure]
  • Model serving: [TBD - likely Ollama or similar]
  • Vector database: [Evaluating Pinecone vs local options]

AI Frameworks & Libraries

Python Ecosystem

  • [To be documented based on current projects]
  • LangChain/LlamaIndex considerations
  • Hugging Face integrations
  • Custom tooling and scripts

Web Development

  • Next.js (for AI-powered web applications)
  • React (frontend components)
  • Node.js (backend services)
  • FastAPI - Modern Python web framework for APIs
  • TypeScript (type safety)

Infrastructure & DevOps

Container Orchestration

  • k3s - Lightweight Kubernetes distribution for local development
  • Kubernetes - Production container orchestration

GitOps & Deployment

  • ArgoCD - GitOps continuous delivery for Kubernetes
  • Helm - Kubernetes package manager and templating

Messaging & Communication

  • NATS - Cloud native messaging system with JetStream
  • Message queuing for service communication

Remote Access & Networking

  • Tailscale - Zero-config VPN for secure remote access
  • Secure networking between development environments

Orchestration & Automation

Workflow Tools

  • n8n (workflow automation)
  • [Additional automation tools TBD]
  • Custom scripts and integrations

Model Management

  • [Local model serving solution TBD]
  • Model version control and deployment
  • Performance monitoring tools

Development Workflow

Code Generation & Assistance

  • Cursor + Claude Sonnet (primary coding assistant)
  • OpenAI Codex (code completion)
  • GitHub Copilot (backup code assistance)

Project Management

  • [Documentation tooling TBD]
  • Issue tracking and project planning
  • Automated testing and deployment

Configuration Examples

As I implement and configure these tools, I’ll add actual configuration files and setup instructions here.

Performance & Optimization

Performance metrics, optimization techniques, and lessons learned will be documented as I build out the stack.

This page will evolve as I build and document my actual software setup.