Build a 208-Item QC-QA System with AI — Enterprise 360 Dashboard

QC-QA System คืออะไร — ทำไมต้องสร้างเอง?

After 3 years of building websites — there've been countless times a deploy went to production only to break the login page, forget to test responsive, or have an API return 500 at 3 AM without anyone noticing until morning.

Every time a bug slipped into production, the same thought: "Why didn't anyone test this first?" And the answer was always the same — no time.

So on March 5, 2026, the decision was made to build a QC-QA system that covers every angle — from UI, API, Security, Performance all the way to SEO — entirely with AI, in under 2 hours.

208Test Items ครบทุกด้าน

25Free QC Tools, AI-Curated

5Testing Phases, Full Lifecycle

< 2 hrsTime to Build Everything

ทำไมแค่ทดสอบก่อน Deploy ยังไม่พอ?

A lot of people think QC = clicking around the website a couple of times, and if nothing breaks, ship it.

That was the mindset too — until the day Lighthouse score dropped from 92 to 34 because images weren't optimized, Google Search Console flagged high CLS, and a user in Japan reported the pricing page wouldn't load on Safari.

That's when it clicked: good QC needs to be thorough — not just "check if it looks broken."

❌ BEFORE — Old-School QC

❌ Click through 2-3 pages
❌ Forget mobile testing every single time
❌ Never test API error cases
❌ Security? That's a tomorrow problem
❌ Performance? Well it still loads, right?
❌ Time spent: 5 minutes (if remembered to test at all)

✅ AFTER — Enterprise 360 QC-QA

✅ 208 items covering every angle
✅ Checklist + severity level (Critical/High/Med/Low)
✅ 25 free tools + ready-to-use prompts
✅ Automated security scanning
✅ Clear performance budgets
✅ Time spent: 30-45 minutes (full lifecycle)

สร้างระบบ QC-QA ครบ 208 หัวข้อด้วย AI — ใช้เวลาไม่ถึง 2 ชั่วโมง

5 Phases ของ Enterprise 360 QC-QA คืออะไร?

The system is designed around 5 testing phases that follow the actual software lifecycle:

Phase 1 — Pre-Development QA

Review requirements, wireframes, and tech stack before writing a single line of code — catching bugs at the source. Covers 38 items

Phase 2 — Development QA

Code quality, unit tests, linting, type safety — catching bugs while coding, not while deploying. Includes 52 items

Phase 3 — Pre-Release Testing

Integration tests, E2E tests, cross-browser, responsive — testing everything before going live. Covers 48 items

Phase 4 — Security & Compliance

OWASP Top 10, SSL, CORS, CSP, data protection — security is not a "later" thing. Checks 35 items

Phase 5 — Post-Release Monitoring

Uptime monitoring, error tracking, performance budgets, user feedback — the job doesn't end at deploy. Tracks 35 items

AI สร้างระบบนี้ทีละขั้นอย่างไร?

Nobody sat down and typed out 208 checklist items by hand, or manually researched 25 tools — the whole thing was built with Cursor + Claude using just 3 prompt rounds.

Round 1 — Define the Structure

Design an enterprise-grade QC-QA system for web applications
Divide into phases following the software lifecycle
Each phase should have a checklist + severity level + recommended free tools
Must cover: UI/UX, API, Security, Performance, SEO, Accessibility
Format as JSON that can be imported into a dashboard

Claude returned a 5-phase structure within 30 seconds — complete with severity levels (Critical/High/Medium/Low) for every single item.

Round 2 — Find Free Tools

For this QC checklist, find actually usable free tools
Criteria: Free (not trial), easy to use, CI/CD compatible
Group by phase and include the quota limit for each tool

Back came 25 tools like Lighthouse, WAVE, Security Headers, GTmetrix — each with their quota limits listed.

Round 3 — Build the Dashboard

Build a QC Dashboard as a single HTML file
Features: Overview + Health Score, Prompts tab, Checklist tab (with filters),
Tools tab (with links + quotas), Settings tab
Support i18n TH/EN, dark theme, responsive
Import/export JSON, localStorage save

Claude built the entire dashboard in one file — HTML + CSS + JavaScript all together, ready to use without installing anything.

ส่วนที่ยากที่สุดไม่ใช่การสร้าง — แต่คือการรู้ว่าต้องทดสอบอะไร

Dashboard มี 5 Features อะไรบ้าง?

🏠

Overview — Health Score

Gauge chart showing project health score + Radar chart for per-phase coverage + Quality Gate telling whether the project is ready to deploy

📋

Prompts — Copy & Paste

Ready-made prompts for AI-assisted testing on each item. Just copy and paste into Cursor. Organized by phase + severity

✅

Checklist — 208 Items

Filter by phase, severity, status (Pass/Fail/Skip). Check items off with auto-save, plus progress bars for each phase

🔧

Tools — 25 Free Tools

Actually free tools with direct links to their websites + quota limits for each one + grouped by phase

⚙️

Settings — Multi-Project

Configure project name and URL, manage multiple projects, Import/Export JSON for backup or sharing with the team

ทำไมใช้ HTML ไฟล์เดียว?

A lot of people ask "Why not build it as a React app?" — the reasons are pretty simple:

1. Instant access — double-click and it works. No npm install, no build step

2. Easy to share — send one file to the team, everyone can use it immediately

3. Works offline — no internet needed, data stored in localStorage

4. Customizable — open and edit with any text editor, no React knowledge required

File size? Under 100KB — compare that to a React app where node_modules alone is at least 200MB.

AI ไม่ได้ทำแทนการคิด — แต่ช่วยให้ทำได้เร็วขึ้น

เจอ Bug อะไรระหว่างสร้าง — AI แก้อย่างไร?

It wasn't all smooth sailing — AI doesn't always get it right on the first try. There were 3 bugs that needed fixing:

Bug 1: Tailwind CDN wouldn't load — the first version used the Tailwind CDN, but some networks block CDNs, breaking all the CSS. One prompt to AI and it converted everything to inline CSS. Fixed in 1 prompt.

Bug 2: Radar Chart rendering wrong — Canvas doesn't render when the tab is inactive (display: none). Had to add a re-render on tab switch.

Bug 3: i18n switch didn't update UI — needed to rebuild every component on language change, not just swap the text.

All 3 bugs were fixed in 8 minutes — just describe the problem to AI and it handles the fix.

ผลลัพธ์จริง — ก่อน vs หลัง เปลี่ยนแค่ไหน?

❌ Before QC-QA System

❌ Bugs leaking to production 3-4 times/month
❌ Forgot security testing every time
❌ Lighthouse score bouncing between 34-92
❌ No checklist — testing by gut feeling
❌ Time debugging after deploy: 2-3 hours/incident

✅ After Enterprise 360

✅ Bugs in production: 0 in 4 days
✅ Security scan on every release
✅ Lighthouse score steady at 85+
✅ 208-item checklist, crystal clear
✅ QC time: 30-45 minutes (full lifecycle)

ใครใช้ระบบนี้ได้บ้าง?

No need to be a developer — anyone involved in a web project can use it:

Developer — use the checklist before every deploy. No more guessing what to test

QA Tester — 208 items with severity levels for systematic testing

Project Manager — check Health Score + Quality Gate to decide if it's ready to release

Freelancer — deliver work with a QC report that makes the deliverable look professional

Business Owner — verify the quality of outsourced websites without knowing any code

มีคำถามอะไรบ้างที่ถามบ่อย?

ต้องเขียน code เป็นไหมถึงจะใช้ได้?

ไม่ต้องเลย Dashboard เปิดขึ้นมาใช้ได้ทันที checklist เขียนเป็นภาษาคนอ่าน ไม่ใช่ code ส่วน prompts แค่ copy-paste เข้า AI tool ได้เลย

208 ข้อ เยอะเกินไปไหม?

มี filter แยกตาม severity — ถ้ารีบ แค่ทำ Critical + High ก็ครอบคลุม bug ประมาณ 80% แล้ว ซึ่งมีราว 45 ข้อ

ใช้กับ framework อะไรก็ได้ไหม?

ได้หมด ระบบทดสอบ output (web pages, API responses, security headers) ไม่ใช่ตัว code — จะเป็น Next.js, Vue, PHP หรือ WordPress ก็ใช้ได้

ฟรีจริงไหม?

Dashboard ฟรี 100% และ tools ทั้ง 25 ตัวก็ฟรีเช่นกัน (บางตัวมี quota limit แต่เพียงพอสำหรับ solo dev และทีมเล็ก)

Export ข้อมูลออกมาได้ไหม?

ได้ กด Export แล้วได้ JSON file มาเลย จะ Import เข้า project อื่นหรือแชร์ให้ทีมก็ง่าย

อัปเดตล่าสุด: มีนาคม 2026

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Building a Full QC-QA System with 208 Checklists Using AI — In Under 2 Hours