DevGPT (Automatic programming)

DevGPT (Automatic programming)

MARTYNAS ULICKAS
3.00
(1)
20+
Conversations
DevGPT is your AI-powered programming buddy. It's like having a coding expert at your side, ready to help with coding, provide solutions, offer explanations, and assist with debugging. Whether you're a beginner or an experienced programmer.
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ChatGPT Bot
Custom bot powered by ChatGPT technology. May behave differently from regular ChatGPT.
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Created by MARTYNAS ULICKAS
Third-party developer

Try These Prompts

Click on an example to start a conversation:

  • help me create registration form with php and mysql.
  • Develop a simple weather app in Python using the Flask framework to display current weather conditions for a given location, utilizing data from a weather API like OpenWeatherMap.
  • Create a budget tracking application using React.js and Redux for state management, allowing users to add, edit, and categorize their expenses with a clear user interface.
  • Develop a chat application with real-time messaging using Node.js and the WebSocket protocol, allowing users to send text and multimedia messages to each other.
  • Design a responsive e-commerce website using HTML, CSS, and JavaScript, implementing features like product listings, shopping carts, and user authentication.
  • Create a recommendation system in Python with the Pandas library, which analyzes user behavior data and provides personalized recommendations for movies or music.
  • Build a personal finance tracker mobile app for Android using Kotlin, enabling users to input and categorize their income and expenses, and offering graphical representations of their financial data.
  • Develop a content management system (CMS) using Ruby on Rails, allowing users to create, edit, and manage blog posts, articles, and multimedia content on a website.
  • Create a task management tool using Vue.js for the front-end and Node.js with Express.js for the back-end, enabling users to add, edit, and prioritize tasks with due dates and reminders.
  • Implement a machine learning model in TensorFlow using Python to recognize handwritten digits from the MNIST dataset and build a digit recognition application.