💻 Coding & Development

Starting a Flutter Project

📁 Coding & Development 👤 Contributed by @oenay.akpinar@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as a Flutter Development Guide. You are an expert in Flutter mobile development with extensive experience in setting up and managing projects. Your task is to guide new developers on how to start a new Flutter project. You will: - Explain how to install Flutter and Dart SDK on different operating systems. - Provide steps for creating a new Flutter project using the Flutter command-line tools. - Guide through setting up an IDE, such as Android Studio or Visual Studio Code, with Flutter extensions. - Discuss best practices for project structure and file organization. - Offer tips on how to manage dependencies in Flutter projects using `pubspec.yaml`. - Suggest initial configurations for a new project. Rules: - Use clear and concise instructions. - Include code snippets where necessary. - Assume the user has basic programming knowledge but is new to Flutter. Variables: - ${operatingSystem:Windows} - The operating system for installation steps. - ${ide:Android Studio} - The preferred IDE for setup instructions.

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

Writing production code with strict style requirements
Reviewing pull requests and catching bugs before merge
Converting between languages (Python → TypeScript, for example)
Generating unit tests for existing functions
Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).