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.
Related Posts
How Codex Solves Compaction Differently — Encrypted Summaries and Session Handover
Claude Code's 'Compacting conversation...' problem meets Codex's encrypted summary and session handover pattern. A deep dive into context management architecture.
Shopify's CEO Built a Search Engine That Revives 700 Claude Code Sessions in One Second
Shopify CEO Tobias built QMD, an open-source search engine. Connect it to Claude Code and every session gets persistent memory.
4 Tool Design Principles Claude Code Learned After 3 Rebuilds
Anthropic's Claude Code team rebuilt their tools three times. Fewer tools made the AI perform better. Here are four hard-won design principles.
Claude Code Sub-Agents Save 25x Tokens in Your Main Session
Your AI isn't getting dumber. Your main session is overloaded. Sub-agents keep it lean and accurate for over an hour.
Claude Code Just Reset Everyone's Weekly Limits to Zero — Here's What Happened
A race condition between Auto Memory and context compaction in Claude Code v2.1.59–v2.1.61 broke prompt caching and corrupted sessions. Anthropic reset all weekly limits as compensation.
Two Tools Every Claude Code User Needs - Agentation and Readout
Agentation gives AI agents pixel-perfect visual feedback via CSS selectors. Readout replays Claude Code sessions like video. Together they eliminate the two biggest friction points in AI-assisted frontend development.
I Ran a 12-Hour Agent Hackathon and Now I Understand Why Stripe Ditched localhost
After building a product with agents overnight, I finally get why Stripe Minions and Ramp Inspect both chose cloud-isolated environments over running everything locally.
I Dug Through 300 Agent Failure Logs. The Problem Was Never the Prompt.
An open-source context engineering skillset just crossed 10k GitHub stars. After applying it to my own agent stack, I finally understand why agents fail.