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How to access Spark, Github’s AI tool that turns words into apps

The new tool is now available as a public preview exclusively for subscribers of the $39/month Copilot Pro+ plan

byEmre Çıtak
July 25, 2025
in Artificial Intelligence, News

GitHub has introduced Spark, an AI-powered platform enabling the creation of applications through natural language prompts, currently accessible as a public preview for Copilot Pro+ subscribers.

Spark facilitates the design and launch of “micro apps” by interpreting user input provided in natural language. Instead of generating code directly for users to interact with, Spark produces interactive previews. This functionality allows users to visualize their application designs immediately and make real-time adjustments based on these visual representations. The platform integrates several features designed to streamline the app development process. These include single-click deployment capabilities, enabling rapid application rollout. Spark also supports collaboration with Copilot agents, facilitating an integrated development environment. Furthermore, it incorporates various AI-powered tools, enhancing the overall efficiency and capabilities available to developers.

Access to Spark for Copilot Pro+ subscribers is subject to a usage limitation, restricting users to 375 messages per month. GitHub has outlined future plans to broaden access to Spark beyond the current subscriber base. The Copilot Pro+ subscription service is priced at $39 per month, with an alternative annual billing option available at $390. The development of software applications stands as a significant area for the practical application of generative artificial intelligence technologies.

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Major technology companies continue to invest in automated coding tools. Google has released Jules, an asynchronous coding agent designed to assist in programming tasks. GitHub has similarly upgraded its Copilot coding assistant, enhancing its agentic capabilities. Google also introduced a tool that allows for the generation and refinement of code through natural language prompts, mirroring some of Spark’s core functionalities. The increasing adoption of AI tools within the software development sector may present challenges for less experienced developers seeking employment opportunities.


Featured image credit

Tags: Featuredgithub spark

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