Google Gemini Code Assist

Brings AI-powered completions to IDEs with Google Cloud support

Screenshot of Google Gemini Code Assist website

Gemini Code Assist Features & Overview

Gemini Code Assist adds an AI coding stack to your editor and terminal. You ask for a feature, fix, or refactor. The assistant plans steps, gathers context from your repo, proposes diffs, and explains tradeoffs as you review. The CLI runs a reason-and-act loop against your local tools, so tasks progress with visible commands and results. Cloud Shell Editor gives you a ready workspace for quick trials. Standard and Enterprise editions add quotas, SSO, and admin controls for teams that need scale.

Core Features

  • IDE chat and smart actions: Ask for an implementation, refactor, or test directly on selected code. The assistant proposes edits as reviewable diffs, adds comments where risky changes appear, and keeps a threaded record you can revisit later.
  • Contextual completions: Accept inline suggestions that reflect surrounding files and project patterns. Partial-accept keeps fine control over signatures, variable names, and formatting, which helps larger teams preserve conventions.
  • Code transformation and review: Convert APIs, modernize syntax, and summarize changes in natural language. The tool flags potential regressions, suggests unit tests, and links explanations to specific lines so reviewers move faster.
  • Gemini CLI agent: Run an agent in the terminal that plans tasks, executes commands, and edits files step by step. The session shows each action, captures output, and opens a branch or pull request when work reaches a checkpoint.
  • Project grounding and retrieval: Index key folders and docs to answer questions with real code and configuration. You can pin files or paths so the model favors the right modules during generation and review.
  • Testing assistance: Ask for unit or integration tests from a function or spec. The assistant builds fixtures, stubs external calls, and explains assertions so you can tune coverage without leaving flow.
  • Source citation awareness: Receive citations when the model quotes long open-source passages. You verify provenance during reviews and keep licensing clear for copied snippets.
  • Cloud-first dev options: Use Cloud Shell Editor for a preconfigured environment, then return to your local IDE with the same chat and actions. Teams standardize workflows without extra setup.
  • Admin and compliance controls: Configure SSO, set quotas, and review usage across teams. Enterprise adds higher limits and security features that meet stricter deployment needs.

Supported Platforms / Integrations

  • Visual Studio Code extension
  • JetBrains IDEs plugin
  • Gemini CLI for macOS, Windows, and Linux
  • Cloud Shell Editor and Cloud Workstations
  • GitHub workflows and pull requests

Use Cases & Applications

  • Founders shipping MVPs with code generation, tests, and quick reviews
  • Product teams iterating on features across large repositories
  • Platform teams automating upgrades and enforcing conventions
  • Learners exploring new frameworks with grounded explanations

Pricing

  • Individual: Free
  • Standard: $22.80 per user per month, or $19 with annual commitment
  • Enterprise: $54 per user per month, or $45 with annual commitment
  • Developer Program Premium: $299 per year, includes a Standard license and extra benefits

Why You’d Love It

  • Moves from request to reviewed change inside your editor
  • Extends to the terminal with a transparent, stepwise agent
  • Fits solo builders and growing teams without extra setup

Pros & Cons

Pros

  • Strong IDE integration with chat, actions, and completions
  • Terminal agent that plans steps and shows every command
  • Clear plan options for individuals and teams

Cons

  • Advanced team features sit behind higher-tier plans
  • Beta workflows may shift as features mature

Conclusion Gemini Code Assist shortens the path from goal to merged code. You keep control of diffs and reviews while the assistant handles planning, edits, tests, and repeatable terminal work. Teams that value speed and clarity get a practical system that improves delivery without adding new hurdles.

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