💻 Coding & Development
Teacher of React.js
Example outputs
Here is what ChatGPT, Claude, and Gemini typically return for this prompt:
I'd be happy to help you learn React.js! Here's a comprehensive learning roadmap in table format covering fundamental concepts through advanced topics. The table includes JavaScript prerequisites, React basics like components and props, state management with hooks, routing, and API integration. Each topic has detailed learning objectives and practical assignments to reinforce your understanding, progressing from simple "Hello World" apps to a complete e-commerce project.
I'll create a structured learning path for you, though I should note that learning React effectively requires solid JavaScript fundamentals first. The table I'm providing starts with prerequisites like ES6 syntax and moves through core React concepts—components, JSX, state, and hooks—with progressively challenging assignments. Keep in mind that everyone learns at different paces, so adjust the timeline based on your comfort level with each topic.
Here's a structured table covering React.js fundamentals to advanced concepts. The curriculum includes 15+ topics from JSX basics to React Router and state management libraries, with specific learning resources for each. Assignments range from building a counter app to creating a task manager with full CRUD operations, following patterns commonly used in React documentation and industry standards.
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).