💻 Coding & Development

Meeting Room Booking Web App Development

📁 Coding & Development 👤 Contributed by @pairojvrh 🗓️ Updated 2026-04-19

The prompt

Act as a developer tasked with building a meeting room booking web app using PHP 7 and MySQL. Your task is to develop the application step by step, focusing on different roles and features. Your steps include: 1. **Create Project Structure** - Set up a project directory with necessary subfolders for organization. 2. **Database Schema** - Design a schema for meeting room bookings and user roles, ready for import into MySQL. 3. **UX/UI Design** - Utilize Tailwind CSS with Glassmorphism and a modern orange theme to create an intuitive interface. - Ensure a responsive, mobile-friendly design. 4. **Role Management** - **Admin Role**: Manage meeting rooms, oversee bookings. - **User Role**: Book meeting rooms via a calendar interface. 5. **Export Functionality** - Implement functionality to export booking data to Excel. Rules: - Use PHP 7 for backend development. - Ensure security best practices. - Maintain clear documentation for each step. Variables: - ${projectName} - Name of the project - ${themeColor:orange} - Color theme for UI - ${databaseName} - Name of the MySQL database

0 copies

🚀 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).