Shipping with Claude Code

In Agentic AI Thoughts I wrote that memory orchestration is the technical moat. Now I've built it with Claude Code — MBTI long-term memory + Deep Companion, and what happens when AI actually remembers what you said.

After years of commercial VPN services, I decided to self-host. One afternoon, one VPS, Claude Code doing all the work. Shadowsocks got blocked within hours, the cert saga had three false starts, but what came out the other side was more complete than I expected.

My GCP devbox died twice in one day. First time: a snap package triggered an infinite crash loop. Applied five fixes, thought it was stable. Hours later it died again — unbounded memory was the real issue. Two rounds of diagnosis, 12 hardening measures, and a machine type swap. A complete field report on VM defense in depth.

Claude Code shipped a virtual pet Easter egg. Two accounts, two penguins — the second one downgraded from Rare to Common. So I used Claude to brute-force a Shiny Legendary Dragon in 0.2 seconds.

Claude Code's Agent Team feature let me break a complex cross-layer plan into ten tasks and assign them to five AI teammates working in parallel. The Lead coordinates dependencies, dispatches resources, handles conflicts — the whole thing feels like managing a remote engineering team.

After building Mio v0.0.2 with five parallel AI agents, I used the same Agent Team pattern for code review — four specialized reviewers found 2 BLOCKs and 2 WARNINGs, three fixers patched everything in parallel with strict file ownership, and two changelog agents handled the release. Building and reviewing are two halves of the same workflow.

A single Claude Code session that combined direct pair programming (three production deploys from user feedback), a background docs agent running concurrently, and an autonomous review team iterating three rounds until clean — all overlapping. The traditional code-test-review-release pipeline collapsed into parallel streams.

The 32GB GCP devbox — upgraded and hardened after Part 3 — died again. Same symptom: SSH timeout, kernel alive, userspace frozen. The watchdog caught it: five node processes at 2-2.7GB each, totaling ~13GB. I assumed Claude Code. It was Cursor's remote server leaking memory for 15 hours straight.

Our Chinese blog articles read like translated English — stiff, academic, lifeless. A reader noticed. We spent a week researching what makes Chinese 公众号 articles work, built a 435-line style guide, and rebuilt the entire writing pipeline. Here's what we learned about the gap between 'correct Chinese' and 'native Chinese.'

From discovering pretext to shipping 7 interactive effects across two sites in one session — explosion physics, bouncing bullets, and an animated crab named Clawd.