Thoughts on AI agents, automation, and building systems that work
How I built an RLM prototype that processes 71 arXiv papers (~1M tokens) without injecting them into the prompt, using out-of-core document analysis with Azure OpenAI tool calling.
Read more →How to orchestrate multiple AI agents working in parallel using Claude Code's new Agent Teams feature within a tmux session.
Read more →Analyzing the legal and ethical implications of 'Co-Authored-By: Claude' appearing in commits. Tool or author? The future of AI-generated code ownership.
Read more →TypeScript provides essential guardrails for AI coding agents but creates friction with type errors. The solution isn't changing languages—it's changing workflows with specialized sub-agents.
Read more →How I built a Claude Code skill that standardizes and automates the creation of bilingual blog articles, ensuring consistency across EN/ES content.
Read more →A workflow for running multiple Claude Code agents simultaneously on different features, using git worktree to manage branches and automating PR reviews.
Read more →How Azure's content filter blocks legitimate browser automation tools based on word choice, not actual risk—and simple workarounds that expose the flaw.
Read more →How I built a comprehensive MCP server with 58 tools to manage Bitbucket repositories, pull requests, and pipelines through natural language.
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