About This Blog
An author-led publication focused on AI agents, startup strategy, context engineering, and the operating systems around modern software work.
This blog is designed as a search-first, machine-readable publication layer inside tonylee.im. The goal is to publish analysis that compounds over time instead of disappearing into timeline-driven feeds.
Coverage centers on AI agents, developer tools, startup economics, AI industry shifts, and the practical workflows that shape product execution. Posts are written to be discoverable, linkable, and legible to both people and machines.
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Eight Hooks That Guarantee AI Agent Reliability
CLAUDE.md rules get followed about 80% of the time. Hooks get followed 100% of the time. After six months of testing, these are the eight I never removed.
Two People, $430M in Revenue: What Medvi Actually Built With AI
The NYT story about Medvi's two-person, $430M operation looks like AI creating a business from scratch. Dig in, and the real lesson is about funnel compression on borrowed infrastructure.
Claude Code in 2026: Layers Matter More Than Tools
I installed three popular Claude Code extensions and productivity barely moved. The problem was never which tools to pick.
Why Your Codex Config Isn't Working: The .codex/ Folder Problem
I edited config.toml, wrote rules in AGENTS.md, and nothing stuck. Turns out the folder structure itself was the issue, not my settings.
Codex Moved Into Claude Code, and That Says Everything
OpenAI shipped Codex as a Claude Code plugin on the same day Anthropic announced Computer Use. I think it's the smartest concession of 2026.
Claude Code Channels Changed How I Work Away From the Terminal
A month ago I couldn't leave my laptop during a build. Three features in four weeks fixed that.
The 10-Hour Skill Beats the 10-Minute Skill Every Time
I thought a single SKILL.md file was enough. Then I saw how Anthropic's own team structures theirs, and rebuilt everything.
Four Contexts That Decide Whether AI Helps or Wastes Your Time
I spent a weekend stuffing 100MB of PDFs into an agent. Performance got worse. Mapping what I was feeding into four categories finally showed me why.