Google has announced the release of Gemini Code Assist, a free AI code assistance tool developed to aid developers in the coding process. This innovative tool allows programmers to access and edit code bases by speaking in natural language. Gemini Code Assist can be integrated with popular coding environments and supports multiple programming languages. The free version offers developers a wide range of usage limits, providing up to 180,000 code completions per month and 240 chat requests per day. This means that Gemini Code Assist offers approximately 4 times more capacity than other similar artificial intelligence code assistants.
WHICH PROGRAMMING LANGUAGES DOES IT COVER?
Gemini Code Assist supports many popular programming languages, including Bash, C, C++, C#, Dart, Go, GoogleSQL, Java, JavaScript, Kotlin, Lua, MatLab, PHP, Python, R, Ruby, Rust, Scala, SQL, Swift, TypeScript, and YAML.
HOW DOES IT WORK?
Gemini Code Assist allows you to receive coding assistance from artificial intelligence using natural language. In short, based on the commands you provide, the AI model can correct errors in your code, complete code sections, or analyze and explain illogical parts of the code base.

NEW TOOLS ON THE WAY
Google is preparing to equip Gemini Code Assist, which it has been selling to businesses for nearly a year, with new features. It has been announced that the coding assistant will soon be integrated with GitLab, GitHub, and Google Docs.
HOW TO PROGRAM USING NATURAL LANGUAGE?
Thanks to the development of AI-based coding assistants and language models, it is now possible to code using natural language. These assistants understand commands given in natural language and produce appropriate code accordingly. When commands like “write a calculator program in C++” are given to assistants like GitHub Copilot, Codex, or Gemini Code Assist, the artificial intelligence can generate the corresponding code. It can create the necessary functions and user interfaces for the program.
These assistants also support developers in editing, optimizing, and even testing and debugging the generated code.