GitHub Spark, a cutting-edge artificial intelligence (AI) tool integrated within GitHub Copilot, has been unveiled to the public. This innovative coding tool enables users to effortlessly create applications through simple natural language descriptions.
The tool, powered by Anthropic’s Claude Sonnet 4, is capable of generating both the backend and frontend functionalities of an application, allowing developers to seamlessly publish their projects once satisfied with the outcome.
GitHub Spark Now Accessible to Copilot Pro+ Subscribers
In a recent announcement on social media platform X (previously known as Twitter), Microsoft CEO Satya Nadella revealed the launch of GitHub Spark. Originally introduced in October 2024, this AI-driven tool is now in public preview for GitHub’s Copilot Pro+ users.
The subscription plan is priced at $39 (approximately Rs. 3,370) per month or $390 (around Rs. 33,700) annually.
Within Copilot, developers have the ability to generate small-scale functional applications known as Sparks, equipped with both backend and frontend features. The application creation process, leveraging Claude Sonnet 4, eliminates the need for complex setups, offering data integration, large language model (LLM) inference, hosting, deployment, and GitHub authentication all within the tool.
Moreover, developers can enhance their apps with AI capabilities sourced from leading providers like OpenAI, Meta, DeepSeek, and xAI. These integrations can be implemented seamlessly without the requirement of an application programming interface (API) key.
GitHub Spark fosters collaboration between developers and AI in crafting tailored applications. Should the initial version fall short of expectations, developers can input additional natural language directives or directly modify frontend components through intuitive visual controls. Alternatively, GitHub Copilot’s code completions facilitate writing, editing, and altering code snippets.
Furthermore, developers can effortlessly establish a repository utilizing GitHub Actions and Dependabot with a single click, ensuring project synchronization. By engaging codespace, developers can instruct the Copilot agent to enhance and expand upon the Spark project.
