Not everyone can code, but everyone can learn. This Project is an AI powered DSA/Competitive Programming Helper with an inbuilt editor to help you prepare for Coding Interviews or just start coding. What's better? VIsualise Everything
Learning to code can be a daunting task, especially for beginners who often struggle with grasping complex concepts. The introduction of CopilotKit aims to revolutionize the way individuals learn coding and prepare for competitive programming. By leveraging advanced AI tools, this project offers a unique educational experience that combines practical coding with engaging interactive features. With an inbuilt editor and visualization aspects, it caters to both novices and seasoned programmers looking to enhance their skills.
The project focuses on providing resources that make coding more accessible. Whether you’re preparing for interviews or starting your journey from scratch, the integration of AI copilots and visually intuitive tools enables a richer understanding of programming principles. This innovative approach signals a shift towards a more collaborative and interactive method of coding education.
CopilotKit: Easily integrate AI copilots into applications, allowing for real-time chatbots and intelligent interactions that enhance user engagement.
CoAgents: A solid framework that connects LangGraph agents with human input, promoting effective collaboration and support throughout the coding process.
LangGraphs: Offers visual representations of programming languages, making it simpler to comprehend their structure and syntax through graphical illustrations.
Inbuilt Editor: A comprehensive coding editor designed to optimize productivity and learning, encouraging coding practice directly within the platform.
Seamless Integration: Works effortlessly with existing applications, making it simple for developers to enhance user experiences with AI-driven tools.
Open Source: Invites contributions from a vibrant community of developers, fostering collaboration and continuous improvement of the project’s capabilities.
Future-Ready: Designed for a variety of applications such as in-app AI agents and context-aware chatbots, ensuring relevance in an evolving tech landscape.
