u/Cute_Barracuda_2166

I’m currently building a large SaaS/business system using Flutter.

Current stack:

• Flutter Mobile

I originally planned to use Flutter Web for the operational side too, but after testing larger dashboards/workflows I’m considering Flutter Desktop instead (Windows/macOS).

The app has:

• realtime updates
• websocket/chat usage
• notifications
• forms/tables
• Chart
• dashboard-style UI
• heavy daily usage

I’m mainly targeting:

• Windows
• macOS

For people using Flutter Desktop in production:

• How has the long-term performance been?
• Are there major differences/issues between Windows and macOS?
• How painful are packaging, distribution, updates, signing, and deployment?
• How mature is the package ecosystem today?
• Do you often need to write native/platform-specific code manually?
• How do you usually handle flavors/environments on desktop?
• What would you recommend starting with first?
• Would you still choose Flutter Desktop over Flutter Web for business/internal systems?

Would love to hear real-world experiences and things you wish you know earlier.
Big Thanks.

I've been working on improving my AI workflow to reduce token usage and minimize hallucinations, especially in real production projects.

One thing that helped me a lot is creating a structured/docs folder that contains documentation for almost everything in the project.

For example, my docs folder includes files like:
Architecture.md

Domain.md

Features.md

Navigation.md

Testing.md

Localization.md

Theme.md

Widgets.md

Packages.md

Decisions-Log.md

And I also created a claude md file that acts as an entry point.
The AI reads it first, and from there it knows which docs file to check depending on the task.

This approach helped me:

• Reduce repeated explanations
• Save tokens
• Improve consistency
• Reduce hallucinations significantly

But I feel there are still better workflows out there.

So I have some questions:

• How do you structure project documentation for AI tools?
• Do you split docs into multiple files or keep a single knowledge base?
• Do you use caching, memory layers, or prompt templates?
• Any tools or workflows that significantly reduced token usage?
• Any one use claude obisidian or spec kit development can share his experince?
• How can superpowers help me?