Building AI Agents with MCP
Architecting agent orchestration layer using Model Context Protocol for multi-model inference and tool execution pipelines. Practical patterns for production AI agents.
Field Notes
Brief observations, technical findings, and thoughts from the workbench. Documentation of the learning journey.
Architecting agent orchestration layer using Model Context Protocol for multi-model inference and tool execution pipelines. Practical patterns for production AI agents.
Designing a microservices architecture with FastAPI, PostgreSQL, and Docker Swarm for cost-effective production deployment. Lessons from building ValtheraLabs backend.
Migrating portfolio and org sites to Next.js 16 with Tailwind CSS v4's new CSS-first configuration. Performance improvements and developer experience wins.
Exploring upgradeable proxy patterns, access control, and gas optimization for ValtheraLabs Web3 infrastructure. Production patterns for EVM-based contracts.
Building reusable CI/CD pipelines with GitHub Actions for static site deployment, secret management, and multi-environment workflows.
Setting up local LLM-powered codebase analysis with Ollama, Graphify knowledge graphs, and Obsidian vault integration for persistent project memory.