When waiting, polling, and switching between Agent sessions keep breaking our focus, task-driven work offers another way: let machines execute asynchronously while humans think one thing at a time.

A cleverly interwoven timeline and a somewhat shallow exploration of death and lifespan.

Devoting yourself to something over the long term—even if it is an impractical dream—is a pretty good choice.

Notes from a real refactoring project on GitHub Stacked PRs: linear dependencies, layered merging, multi-level synchronization, and local branch relationships.

From Codex's hard removal of chat/completions to the migration damage it caused in new-api, this examines the real tool-flow differences between Anthropic Messages and OpenAI protocols—why my long-chain silence is not the protocol's fault, and what truly counts as talking while working.

A breakdown of Claude Desktop's five scheduling systems, the architectural causes behind their complexity, why this design multiplies the effort required to maintain one project, and what a bad architecture can teach us.

A discussion inspired by MoeChat about RRF and Hybrid Search: how should time retrieval participate in hybrid retrieval, how should it adapt across scenarios, and where are the boundaries between wikimem and XnneHangLab?

An in-depth look at how MoeChat builds long-term memory for AI characters, including its time-and-semantic hybrid retrieval—written for people interested in memory systems.