AI code generation
AI coding and code generation tools
Generate code snippets, functions, and algorithms in popular languages and frameworks like Python, JavaScript, and React—just using text descriptions. AI coding tools can help non-technical users create real code and empower experts with code assistance.
Overview
What is AI code generation?
AI code generation is the use of artificial intelligence (AI) and machine learning (ML) to create code based on a user’s conversational prompt. For example, Gemini Code Assist offers developer code generation and completion capabilities. Code can be generated based on general best practices, organizational governance, and even a natural language description of the desired code.
Is there an AI that can create code?
Google's most capable model, Gemini not only generates code, but also helps with debugging and code explanation. Gemini can handle more than 20 programming languages, including C++, Go, Java, Javascript, Python and Typescript. Google Cloud’s Gemini Code Assist can also generate code, write functions, and aid in code completion.
What is the best AI for code generation?
Developers now have access to a wide variety of AI solutions for code generation. Google Cloud’s Vertex AI offers generative AI models that allow for all types of content generation, including code. Vertex AI leverages Google's cutting edge Gemini models to generate text and code in response to conversational prompts—even across various human languages.
What are the benefits of AI code generation?
AI can help speed up development for both expert developers and non-technical builders. AI code generation tools like Google AI Studio can provide code snippets for specific tasks like file I/O, database interaction, or API calls. AI Studio can even generate complete functions, classes, or data structures based on text prompts. Seasoned developers can boost their productivity with code assistance tools that put AI-powered features like code completion and reviews right in their IDE.
How It Works
AI code generation uses machine learning models and algorithms trained on programming languages and publicly available source code to generate code. Google Cloud’s foundation models allow developers to build next-generation applications with access to multimodal models from Google in Vertex AI.
AI code generation uses machine learning models and algorithms trained on programming languages and publicly available source code to generate code. Google Cloud’s foundation models allow developers to build next-generation applications with access to multimodal models from Google in Vertex AI.
Common Uses
AI-powered coding assistant
Get code assistance in Google Cloud console
Gemini Code Assist gives application developers and data engineers code recommendations in real time, full function and code blocks, and identifies vulnerabilities and errors in the code, while suggesting fixes. Developers will find code assistance through a chat interface, Cloud Shell Editor, or via our Cloud Code IDE extensions for VSCode and JetBrains IDEs. It supports multiple languages including Go, Java, Javascript, Python, and SQL.
How-tos
Get code assistance in Google Cloud console
Gemini Code Assist gives application developers and data engineers code recommendations in real time, full function and code blocks, and identifies vulnerabilities and errors in the code, while suggesting fixes. Developers will find code assistance through a chat interface, Cloud Shell Editor, or via our Cloud Code IDE extensions for VSCode and JetBrains IDEs. It supports multiple languages including Go, Java, Javascript, Python, and SQL.
