DevKit

DevGPT is an AI assistant integrated within DevKit. It helps developers generate configurations for public APIs with a single click. Additionally, it allows querying PostgreSQL databases using plain English as well as generating and executing code through a chat interface.

Freelancers can use DevKit to speed up project setup, query databases without needing extensive SQL knowledge, and generate code quickly. These features help freelancers handle multiple projects more efficiently and develop high-quality deliverables on time.

Corporate development teams can streamline their workflows with DevKit. It automates repetitive tasks like API configuration, supports real-time collaboration, and integrates with version control, making the development process more efficient and cohesive.

Startups can quickly bring their ideas to life using DevKit's rapid prototyping tools. The ability to generate and execute code quickly helps startups iterate and test their concepts, allowing them to innovate faster and more efficiently.

Yes, DevKit is very useful for students. It simplifies learning by allowing students to perform complex coding tasks, query databases using simple language, and engage in code generation without needing extensive coding experience. This can significantly enhance their learning experience.

DevKit is highly suitable for hobbyists. Its user-friendly interface and powerful tools make it easy to develop and execute small projects. Hobbyists can explore and bring their creative ideas to fruition without needing advanced programming skills.

DevKit features include DevGPT, configuration generation for public APIs, natural language PostgreSQL queries, code generation through a chat interface, version control integration, real-time collaboration, an extensive API library, and custom scripting capabilities.

DevKit currently supports English.

Step 1: Sign up on the DevKit website and log in. Step 2: Explore the dashboard to familiarize yourself with the tools. Step 3: Use DevGPT to start generating API configs or querying databases. Step 4: Generate and execute code using the chat interface. Step 5: Integrate with version control and collaborate with your team.