This is a submission for the GitHub Copilot CLI Challenge
What I Built
Jurnal is a simple mobile journaling app that makes it easy to capture "what happened today" using your voice. Instead of starting from a blank page, you record a short voice note, and the app turns it into a clean, structured journal entry you can skim later.
Jurnalis a Romanian term that translates into English as diary or journal.
The core flow is:
- Record audio in-app
- Transcribe locally on-device using a Whisper model
- Send the transcription to a larger LLM to turn it into a real note, with sections like summary/highlights/intentions in Mardown
What I like about this approach is the combination of privacy-first transcription with the "writing assistant" part happening after: I still speak naturally, and the app handles organizing the content into something readable.
Teck stack:
- React Native with Expo
-
react-native-executorchto handle local transcription model -
@tanstack/aito provide online LLM utility - TailwindCSS by Uniwind for styling
Future improvements I'm excited about:
- Custom templates for different styles
- Choosing custom models for transcription and enrichment
- Manual editing of the final note in-app
- Smarter search with local RAG
- A background queue for long-running processing
Demo
🔗 Repo: https://github.com/pizidavi/jurnal-app
| Home | Note | Recording | Settings |
|---|---|---|---|
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My Experience with GitHub Copilot CLI
Copilot CLI was most helpful when I treated planning as a first-class step, not a formality. The biggest productivity boost came from writing a tight plan, implementing in small slices, and then letting the AI validate (and correct) itself.
To support that workflow, I made the project intentionally strict: ESLint rules are restrictive, TypeScript is in strict mode with other custom strict types, and I pushed the assistant to run lint and typecheck command before considering anything as done. That created fast feedback loops and prevents subtle regressions from piling up.
I also built a custom Orchestrator agent that follows a plan → implement → review cycle and repeats until the plan is completed. It was really fun to see the agents correct themselves when they missed a step or introduced a bug.
I'm extremely positive about the future of Copilot CLI: the UI is good and the interaction model fits real development.
One thing I'd love to see next is a persistent allowlist for safe commands (like lint/typecheck/format), so that I don't have to approve them every time.
Have fun!
Top comments (1)
I think it's pretty awesome that you created a custom orchestrator for this project! A nice transcription formatter is a pretty rad use case too! Can't wait to see where it goes next!