Flutter makes it easy and fast to build beautiful apps for mobile and beyond
More rules should mean better output. That's the intuition. I spent weeks building a comprehensive CLAUDE.md — 200 lines covering naming conventions, security rules, error handling, architectural patterns, import ordering, type safety requirements, and more. I was proud of it. I'd thought through every scenario. Then I scored the output. 79.0 / 100. My carefully crafted documentation was actively
Dart's concurrency model is unusual: single-threaded event loop by default, with explicit Isolates for true parallelism. No shared memory, no race conditions, no mutex locks. This guide covers everything from the simple compute() helper to long-lived Isolate workers, structured concurrency patterns, and Stream-based reactive flows. Concept Dart Isolates JavaScript Workers Java Threads Memor
Dart Metaprogramming — build_runner, Source Gen, and Dart 3 Macros Explained Every Flutter developer has used json_serializable or freezed, but few understand what actually happens when dart run build_runner build runs. Understanding Dart's code generation stack unlocks the ability to eliminate repetitive boilerplate in your own projects. This guide goes from "using existing generators" to "writ
Dart Records & Patterns Deep Dive — Destructuring, Sealed Classes & Exhaustive Matching Dart 3.0 shipped Records, Patterns, and Sealed Classes together. Used well, they eliminate entire categories of runtime errors and make state management dramatically more expressive. // Before: untyped Map Map<String, dynamic> getUserInfo() => {'name': 'Alice', 'age': 30}; // Dart 3: typed Record (String nam
Flutter CustomPaint Deep Dive — Canvas API, Animations & Fragment Shaders When Flutter's standard widgets can't achieve the visual effect you need, CustomPaint unlocks the full power of the Canvas API — and with Fragment Shaders, you can push rendering directly to the GPU. class WaveChart extends StatelessWidget { final List<double> data; const WaveChart({required this.data}); @override
Have you ever looked at code you wrote six months ago and thought: "Who wrote this monster?"? Relax, it happens to all of us. In software engineering, writing code that a machine understands is the easy part. The real challenge is writing code that other humans (including your future self) can understand, maintain, and scale. This is exactly where Software Design Principles come into play. In this
Part 1 of 5 in The New Engineering Contract — what it means to lead engineers when AI is doing more of the coding. SWE-CI tested 18 AI models across 71 consecutive commits. Most broke something on commit 47 they'd already broken on commit 1. That's not an intelligence problem. That's a learning system that isn't learning. A paper made me uncomfortable this month. Not because of what it found about