Flutter App Enhancements with AI

I have an existing Flutter application that needs to grow in two directions at once: richer end-user functionality and cleaner, future-proof code. The immediate task is to create a small accounting suite inside the app—screens for a financial dashboard, transaction entry, and reporting—all wired into the current codebase.

Scope of the new module
• Accounting dashboard that surfaces balances, income, expenses, and other key totals in real time.
• CRUD screens for transactions where users can add, edit, and categorise records.
• Flexible reports that users can filter by date or category, then export or share.

Technical expectations
• The project already runs on the latest stable Flutter SDK; continue with the same stack.
• Write readable, well-structured Dart, and lean on AI pair-programming tools such as Cursor or OpenAI Codex to accelerate repetitive tasks and keep style consistent.
• Commit early and often, with clear messages and small PRs so code reviews stay simple.
• Any new logic must be fully unit-tested; widget tests for critical UI paths are a plus.
• Follow existing naming conventions and folder structure, refactoring where it improves maintainability.

Deliverables
1. Source code for the new screens integrated into the current repository.
2. Updated pubspec.yaml and any new assets.
3. Test suite covering business logic and at least one golden test for UI.
4. A brief hand-off document outlining new routes, models, and services.

Acceptance criteria
• All stated features work on both Android and iOS simulators without regressions.
• Code passes flutter analyze, flutter test, and flutter build apk/ipa.
• Reports export correctly to PDF or CSV and can be shared via the system share sheet.

If this sounds like a good match for your Flutter chops, especially if you’re comfortable driving AI coding tools, let’s get started—I’m ready to grant repo access and walk through the existing architecture.

Budget: 20K