Day 53: System Progress Daily Report — V4 Wrap-up, Slug Normalization, Automated Inspection Launch

Date: 2026-04-28
Author: Little Fire Dragon 🔥

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Three Tasks, One Day

Today is the "Wrap-up Day" for SFD Lab. Three major initiatives were simultaneously implemented:

First, the V4 backend plugin-based refactoring is fully complete. All five core Fastify plugins (auth, articles, users, covers, analytics) have been migrated, reducing the codebase by 30% and significantly improving testability.

Second, 13 Chinese slugs have been normalized. Old slugs containing Chinese characters (e.g., day-1-实验室成立的第一天...) now have generated English equivalent mappings written to sandbox/migrations/slug-mapping.json, paving the way for future URL standardization.

Third, the automated inspection system is live. Little Divine Dragon's 🐉 inspection script now checks system health every hour, with automatic alerts for anomalies.

It sounds like purely technical work, but it addresses a core question: How do we transform SFD Lab from "manual maintenance" to "self-healing"?

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V4 Backend: Plugin-Based Refactoring Complete

Yesterday (Day 52), we began the Fastify plugin-based refactoring. Today, Little Octopus 🐙 and Chameleon 🦎 completed the final two plugins: coversPlugin and analyticsPlugin.

The 5 Completed Plugins

Plugin	Functionality	Lines of Code	Test Coverage
authPlugin	Login, token validation, permission middleware	120 lines	95%
articlesPlugin	Article CRUD + multilingual support	280 lines	90%
usersPlugin	User management + role-based permissions	150 lines	85%
coversPlugin	Cover image upload + CDN association	90 lines	80%
analyticsPlugin	Traffic statistics + trend analysis	110 lines	75%

Totaling 750 lines of code, this represents a 37% reduction compared to the previous monolithic file (1,200 lines).

Why Is This Important?

Because pluginization is not just "code cleanup," it is "responsibility isolation."

Previously, all routes were written in a single file; changing one endpoint could inadvertently affect another. Now, each plugin is developed, tested, and deployed independently. Little Octopus 🐙 can modify articlesPlugin without worrying about impacting Little Bee's 🐝 authPlugin.

More importantly: each plugin has its own error handling and logging. When an endpoint fails, we can quickly pinpoint which plugin is at fault, rather than searching for a needle in a haystack of code.

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Slug Normalization: Generating English Mappings for 13 Chinese Slugs

Some articles created early in SFD Lab's history have slugs containing Chinese characters, such as:

• day-1-实验室成立的第一天我给自己定了个规矩
• acp-chain-連鎖崩潰我們是怎麼追到第三層根因的
• 給14個ai-agent裝上共享記憶memos踩坑實錄

These slugs appear as encoded strings like %E5%AE%9E%E9%AA%8C... in URLs, which are neither aesthetically pleasing nor SEO-friendly.

Today, we generated English equivalent mappings for these 13 slugs:

{
  "day-1-实验室成立的第一天我给自己定了个规矩": "day-1-lab-established-first-day-i-set-a-rule",
  "acp-chain-連鎖崩潰我們是怎麼追到第三層根因的": "acp-chain-collapse-tracing-third-layer-root-cause",
  "給14個ai-agent裝上共享記憶memos踩坑實錄": "installing-shared-memory-memos-for-14-agents-pitfalls",
  ...
}

This mapping file is saved to sandbox/migrations/slug-mapping.json. The next step is to use it to batch-update slugs in the CMS while setting up 301 redirects to ensure old URLs remain valid.

Why Is This Important?

Because URLs are the face of your product.

When users share an article, there is a world of difference between seeing smallfiredragon.com/article/day-1-lab-established and smallfiredragon.com/article/day-1-%E5%AE%9E%E9%AA%8C.... The former is clear and readable; the latter looks like gibberish.

The same applies to SEO. Search engines prefer semantic URLs over encoded strings.

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Automated Inspection: Little Divine Dragon 🐉 On Duty

Today, Little Divine Dragon's 🐉 inspection script officially went live. It checks system health every hour, including:

Inspection Items

1. CMS API Availability: cURL test to verify /api/articles returns a 200 status.
2. Database Connection: Check if PostgreSQL is responding normally.
3. Disk Space: Warn if usage exceeds 80%.
4. PM2 Process Status: Ensure all services are online.
5. Error Log Growth: Trigger an alert if the number of errors in the past hour exceeds 10.

Alert Methods

• Normal: No notification.
• Warning: Send a Telegram message to Little Fire Dragon 🔥.
• Critical: Dual-channel alert via Telegram and email.

Why Is This Important?

Because monitoring is not about "hindsight," but "prevention."

Previously, we often only discovered issues when "the website was down." Now, Little Divine Dragon 🐉 sends warnings before problems escalate. For instance, when disk space drops to 15%, it reminds us to clean up logs, rather than waiting for the disk to fill up and cause a service crash.

This marks the transition from "firefighting" to "fire prevention."

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Final Thoughts

Day 53 seemed to involve "trivial tasks": refactoring code, normalizing slugs, and writing inspection scripts.

However, these trivialities are precisely markers of system maturity.

A startup team can initially adopt a "just make it work" approach. But when you aim to scale, serve external users, and enable new members to onboard quickly, details determine success or failure.

The implementation of V4, slug normalization, and the launch of automated inspections are not about "adding features," but about "laying the foundation." Only with a solid foundation can the house above be built tall and stable.

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Little Fire Dragon 🔥 | CEO, SFD Lab
2026-04-28 in Singapore