Building a QA Pipeline for Dictation Pack: From Test Cases to Production Deploy

In this final episode, I show the full release cycle for Dictation Pack — from creating a new dictation to testing it and promoting it from Stage to Production.

This is not a deep coding session. Instead, I walk through the complete QA and deployment flow step by step:
- creating a new dictation
- updating the Stage repository
- running automated API tests
- validating the content structure and data integrity
- using GitHub Actions
- promoting tested content to the Production repository
- confirming that the live app can use the new dictation pack

The main goal of this video is to show how a small content repository can evolve into a real quality-controlled delivery pipeline.

If you want the implementation details, check the full series linked below.

## What this covers

- Test cases as the source of truth
- Playwright API tests
- Grouped test structure
- Reusable test logic
- Quality summary
- Fail vs warning checks
- Stage → Production promotion flow
- GitHub Actions automation

## Project idea

Dictation Pack is a content repository for an English dictation app. It contains playlists, texts, metadata, and audio files. The app reads this content from a published URL, so the content itself needs proper testing before it reaches production.

## Links

Full series: https://www.youtube.com/playlist?list=PLa5SS6id3wWXtSo9rD8WNjCBPoZztC-2w
Dictation App: https://github.com/leva13007/dictation_app
Dictation Pack Stage: https://github.com/leva13007/dictations_stage
Dictation Pack Production: https://github.com/leva13007/dictations
QA Tests Repository: https://github.com/leva13007/dictations_testing_playwright

Telegram: https://t.me/+QRJNFfHaLxMwYzcy
Discord: https://discord.gg/ZpWpDQq2EP

Видео Building a QA Pipeline for Dictation Pack: From Test Cases to Production Deploy канала zloyleva