Gemini Code Assist
Google's AI-powered coding assistant that brings Gemini 2.5 to your IDE, terminal, and GitHub for code completion, generation, chat, and automated code review.
At a Glance
No-cost plan for individual developers. No credit card required.
Engagement
Available On
Updated Apr 2026
About Gemini Code Assist
Gemini Code Assist is Google's AI-first coding assistant powered by Gemini 2.5, available for individual developers at no cost and for businesses via Standard and Enterprise plans. It integrates directly into popular IDEs (VS Code, JetBrains, Android Studio), the terminal via Gemini CLI, and GitHub for automated pull request reviews. With a 1M token context window and support for Model Context Protocol (MCP), it delivers highly relevant code suggestions, chat responses, and agentic task execution across the full software development lifecycle.
- Code Completion & Generation — Install the VS Code or JetBrains extension and start receiving automatic inline completions and on-demand function/file generation as you write.
- Conversational Chat in IDE — Open the Gemini chat panel in your IDE to ask questions, explain code, refactor, or debug using the context of your open files.
- Gemini CLI — Install Gemini CLI from GitHub to get AI-powered code understanding, file manipulation, command execution, and troubleshooting directly in your terminal.
- Agent Mode — Enable agentic chat to let Gemini perform multi-file edits, use built-in tools, and integrate with MCP ecosystem tools, with Human-in-the-Loop oversight.
- GitHub Code Review — Install the Gemini Code Assist app from GitHub Marketplace to automatically review pull requests, find bugs and style issues, and suggest fixes via
/geminicomments. - Large Context Window — Leverage a 1M token context window so responses are grounded in your actual codebase; Enterprise users can connect private repositories for even more customized suggestions.
- Gemini in Firebase — Use Gemini in Firebase for code generation, app error analysis, performance insights, and Firebase Data Connect schema/query generation at no cost.
- Google Cloud Integrations — Access Gemini assistance in BigQuery, Cloud Run, Colab Enterprise, Apigee, Application Integration, Cloud Workstations, and Cloud Shell Editor.
- IP Indemnification & Compliance — Standard and Enterprise plans include IP indemnification, VPC-SC, and Private Google Access for enterprise-grade security.
- Customized Code Suggestions — Enterprise plan users can connect private GitHub, GitLab, and Bitbucket repositories to receive suggestions tailored to their internal codebases.
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Pricing
Gemini Code Assist for Individuals
No-cost plan for individual developers. No credit card required.
- Code completion and generation in IDE
- Conversational assistant in IDE
- Smart actions and smart commands
- Source citations
- Gemini CLI: 1,000 model requests/day
Gemini Code Assist Standard
Business-ready AI coding assistance with enterprise-grade security and management tools. Annual upfront commitment.
- Code completion and generation in IDE
- Conversational assistant in IDE
- Smart actions and smart commands
- Source citations
- Gemini CLI: 1,500 model requests/day
- Agent Mode: 1,500 model requests/day
- Gemini in Firebase
- Gemini in Colab Enterprise
- Database Development Assistance
- BigQuery Data Insights
- Gemini in Cloud Run
- IP indemnification
- VPC-SC and Private Google Access
- 30-day trial available
Gemini Code Assist Enterprise
Comprehensive AI-powered development solution with private repo customization and full Google Cloud integration. Annual upfront commitment.
- All Standard features
- Customized code suggestions from GitHub, GitLab, and Bitbucket
- Gemini in Apigee
- Gemini in Application Integration
- Gemini Cloud Assist (paid features)
- Gemini CLI: 2,000 model requests/day
- Agent Mode: 2,000 model requests/day
- IP indemnification
- VPC-SC and Private Google Access
- 30-day trial available
Capabilities
Key Features
- AI code completion and generation
- Conversational chat in IDE
- Gemini CLI terminal agent
- Agent mode for multi-file edits
- GitHub pull request code review
- 1M token context window
- MCP (Model Context Protocol) integration
- Gemini in Firebase
- BigQuery data insights
- Database SQL generation
- Colab Enterprise Python code generation
- Cloud Run code completion
- Gemini in Apigee
- Gemini in Application Integration
- Customized code suggestions from private repos
- IP indemnification
- VPC-SC and Private Google Access
- Smart actions and smart commands
- Source citations
- Human-in-the-Loop oversight
