How to Fix App Jank: A Practical Guide to Profiling Flutter Apps with DevTools

Building a Testable Network Layer and Three-Tier State Management in Flutter

A detailed walkthrough of refactoring a Flutter app's network and state management layers. The network layer wraps Dio/Vexana behind a generic interface (IProductNetworkManager) with sealed NetworkResult types, a singleton with environment setup/reset, centralized constants, json_serializable models, and abstract service interfaces for testability. The state management layer introduces a three-tier model: a global ApplicationCubit in a GetIt DI container for app-wide state, page-level Cubits with immutable Equatable state and BlocSelector for surgical rebuilds, and ValueNotifier for widget-local UI toggles. Key patterns include fold() over try/catch for network results, BlocListener for navigation side effects, and BlocSelector per field to minimize rebuilds.

I Fed Our Figma Mockups to AI and Asked for Flutter Widgets. 70% of the Output Was Usable.

Một nhà phát triển Flutter thử nghiệm chuyển đổi mockup Figma sang code widget bằng AI (Claude/GPT-4 Vision) trên 40 màn hình trong 2 tháng, nhận thấy ~70% code đầu ra có thể sử dụng ngay như một điểm khởi đầu. AI xử lý tốt các yếu tố cơ bản như phân cấp layout (Row, Column, Container), spacing và styling, nhưng 30% còn lại (responsive, ThemeData, state, scroll, patterns platform-specific) vẫn cần chỉnh sửa thủ công, tiết kiệm khoảng 20% thời gian phát triển nhờ loại bỏ giai đoạn dịch layout cơ học.

Lập trình viên Flutter nên đọc bài này để khám phá cách tối ưu hóa công việc thiết kế giao diện bằng AI, giảm thiểu thời gian xây dựng layout cơ bản và tập trung vào logic ứng dụng, tăng hiệu suất phát triển.

Learning faster with Antigravity

A Flutter developer describes how they used Antigravity (Google's AI coding assistant) and a structured iterative workflow to build a Flutter frontend for a Python-based ADK (Agent Development Kit) agent — a language and framework they had no prior experience with. The approach involved creating a reusable 'skill' (a set of reference docs and instructions) that guided an AI 'coder' agent through phases: analyzing the backend agent, writing usage/architecture/design specs, and generating code. A separate 'author' agent helped evaluate output and refine the skill after each of 13 iterations. The post walks through specific bugs fixed along the way — network permissions, markdown rendering, SSE partial event aggregation, and more — and shares the resulting skill on GitHub.

The Cooperative Multitasking Trap: Why Asynchronous Loops Starve Mobile Runtimes

Deep dive into how cooperative multitasking in Flutter (Dart) and Native Android (Kotlin) can silently starve UI rendering threads. Flutter's single-threaded event loop can be locked by an unbreakable microtask chain when sequential async loops process large collections, while Android's Jetpack Compose suffers from un-batched reactive state flooding when high-frequency streams dispatch individual updates to the main thread. Solutions include offloading Flutter work to background isolates with raw primitive transfers, and implementing channel-based batch buffering in Kotlin to reduce main-thread layout invalidations to one per time window.

Call for Contributors: OpenTelemetry for Dart and Flutter

Dart hiện là ngôn ngữ lập trình lớn cuối cùng chưa có OpenTelemetry SDK chính thức, nhưng dự án cộng đồng dartastic_opentelemetry (hỗ trợ traces, metrics, logs qua OTLP/gRPC và OTLP/HTTP trên mọi nền tảng) sắp được chuyển giao cho OpenTelemetry. Một nhóm đặc biệt (SIG) dành cho Dart/Flutter đang được thành lập, cần thêm contributor để duy trì codebase, tham gia họp và phát triển SDK.

Lập trình viên Dart/Flutter nên đọc để tìm hiểu cách tham gia phát triển và duy trì SDK OpenTelemetry chính thức, giúp tích hợp trace, metrics và logs hiệu quả cho ứng dụng của mình với tiêu chuẩn mở, mở rộng khả năng theo dõi và tối ưu hóa hiệu suất.

How to Structure Large Flutter Applications for Scalable and Maintainable Growth

Flutter apps often outgrow their architecture before teams realize it. This guide covers how to structure large Flutter codebases for long-term maintainability by organizing around features rather than technical layers, separating presentation/domain/data concerns, scoping state ownership to individual features, isolating navigation logic, managing shared code carefully, and scaling dependency injection. Practical code examples using BLoC/Cubit illustrate each pattern, and production concerns like lazy initialization, observability, and feature flags are also addressed.

How to Use Claude Code to Build Flutter Apps Faster — Best Practices for 2026

A practical guide to using Claude Code effectively in Flutter development. Covers setting up a feature-first folder structure so Claude can navigate the codebase, writing a CLAUDE.md briefing file with architecture rules and conventions, creating reusable Skills for repeated tasks like release builds and conventional commits, using /loop for self-correcting workflows (e.g., fixing lint until clean), and dispatching subagents to build multiple screens in parallel. Also covers hooks for deterministically enforcing rules like blocking edits to generated files. Includes a full sprint workflow example tying all concepts together.