Operational Semantics

Real debugging stories from building the blog automation pipeline - domain changes, RAG mismatches, browser automation failures, and more

How RSS-based auto-indexing will complete the fully automated publishing pipeline

How /write-post and /publish-post orchestrate the entire content pipeline

Using browser automation to cross-post from Astro to Substack without copy-paste hell

Building an AI chatbot that can answer questions about the very blog posts that explain how it works

Setting up a blazing-fast static blog with type-safe content, automatic sitemaps, and zero hosting costs

Building an AI-powered publishing pipeline where write, publish, index, and cross-post all happen automatically

The final stop on the lecture tour - watching light bulbs go off across a room of ravenous students

An 85-minute marathon lecture with the sharpest questions of the tour - and Emma Watson reading quietly nearby

A blockchain conference where I talked about robots, provenance, and the real utility of crypto

A room full of CS students, and the moment I told them they wouldn't have to write code anymore

Teaching AI transformation to business students at Sam Altman's alma mater

Dropping the blockchain pretense - my first fully AI-focused lecture

OpenAI released o1 four days before my lecture - validating the reasoning approach I'd been using manually

First in a series about my AI lecture tour through Ivy League and international universities

How I ended up with the same MCP server defined in 5 different places, pointing to 3 different databases, using 2 different packages

From PostgreSQL backend to Liquid Glass UI — building a memory system you actually want to use

They started as 'just a CDN.' Now they're running 20% of the internet and offering what AWS charges $500/month for... at $10/month. Here's how Cloudflare became the most underrated infrastructure company in tech.

The hidden flag that turned our impossible blockchain MCP ecosystem into production infrastructure

How we built a unified testing environment across 8 blockchains—and discovered that cross-chain development is a whole different game

How we connected 10 MCP servers to turn mock data into real trading intelligence

How we solved the approval problem for AI-generated NFTs in a stateless protocol

How we discovered that minimal implementations were hiding rich blockchain data

80-95% token reduction, sub-2s responses, and the world's first MCP arbitrage scanner

Or: How I spent six hours debugging Anthropic's infrastructure, only to discover my router was the villain

How to actually use the MCP Inspector when console.log is forbidden and debugging feels impossible

How we implemented API rate limiting in a completely stateless protocol

How to structure code so AI assistants can actually help when your codebase is 67,000 lines

How we transformed PostgreSQL from a dumb database into an intelligent insight engine—without sending your data to any API

How we built a production-grade memory system with PostgreSQL and pgvector for semantic search

*By Myron Koch*

How we coordinated 6 Claude Code instances to refactor 17 blockchain servers simultaneously

*Prerequisites*

*Prerequisites*

*Experience-driven innovation: How repetition revealed patterns that enabled automation*

Building a universal standard for 17 blockchain MCP servers that actually works

How we made 17 blockchains speak the same language

How JavaScript's BigInt type turned our test suites into debugging nightmares

When your MCP server crashes silently and Claude just says Something went wrong

The silent killer that breaks stdio communication and how we fixed it across 17 servers

The definitive guide to debugging MCP module compatibility issues

How we learned to stop worrying and embrace strategic code duplication across 17 blockchain servers

How our brilliant plan to share code across 17 servers became a maintenance nightmare

How we converted 67,000 lines of JavaScript to TypeScript without breaking everything

How we refactored 17 massive single-file MCP servers into organized, maintainable architectures