AI IDE List
블로그로 돌아가기
목차8개 섹션

Editorial snapshot from September 2026. Prices, models and interface labels may change; this is a practical guide, not a live product feed.

Google’s open-source terminal agent for Gemini, project context and command-line automation.

Coding agent · Google · macOS · Windows · Linux

Suitable workflows

Developers using Google accounts, Gemini API keys or Vertex AI.

Limitations and billing

Quotas depend on authentication. Workspace accounts may need a Google Cloud project.

Capabilities we verified

Agent workflow · CLI surface · MCP · Skills · Rules / instructions · Hooks · Bring your own key

This is an evidence-based shortlist, not an exhaustive feature inventory. Omitted capabilities have not been checked for this record.

Pricing & usage

Free access; see limits

Account quota or metered Gemini / Vertex AI usage. The cost of metered usage or an external agent can be separate from the subscription.

Models & access

Google sign-in, Gemini API key, or Vertex AI credentials.

Verified families: Gemini.

Install and start the CLI

Install a supported Node.js version and npm; use the stable release for normal projects.

npm install -g @google/gemini-cli

Open your project folder in a terminal, then run:

gemini

Account and authentication

Choose Google sign-in, GEMINI_API_KEY, or Vertex AI on first launch.

Project configuration and tools

Use GEMINI.md for project context; configure extensions and MCP separately from authentication.

First task to try

Map the main modules and test commands before asking Gemini to change a file.

Script usage

This example asks for a project summary. Tool permissions still apply; a prompt is not a sandbox.

gemini -p "Summarize the project structure without modifying files."

Related CLI tools

All AI CLI tools →

Qwen Code — Qwen’s open-source terminal agent for repository work and configurable model access.

Codex — OpenAI’s coding agent for local projects and cloud tasks.

Grok Build — Grok’s coding agent with a terminal interface, script mode and ACP integration.

Project evaluation checklist

  1. Open a small, familiar project and confirm that your essential language tooling works.
  2. Give the agent one bounded change with an observable acceptance criterion.
  3. Review the diff, run the project’s checks and compare the result with your current workflow.
  4. Inspect usage after the task. Estimate a month of similar work, including any separate model or agent bill.

Related TRAE guides

이 글 공유
XFacebookLinkedInRedditHacker News

관련 도구

이 글의 주제와 가까운 디렉터리 항목을 살펴보세요.

디렉터리 보기
CodexBar logo

CodexBar

Developer Workflow Tools

CodexBar is a free, open-source usage monitor for AI coding tools that puts quota windows, reset times, balances, spend, and provider status into a macOS menu bar, Linux desktop app, and CLI. It is designed for developers juggling multiple coding-agent subscriptions rather than for writing code itself.

Oh My Pi logo

Oh My Pi

Terminal / CLI Coding Agents

Oh My Pi (omp) is an open-source, terminal-first coding agent built from Pi and expanded into a batteries-included engineering harness with LSP, debugging, subagents, browser automation, model routing, and deep extensibility.

jcode logo

jcode

Terminal / CLI Coding Agents

jcode is an open-source Rust coding agent harness built for terminal-first development, persistent sessions, and highly parallel agent workflows. It can use provider subscriptions, API keys, OpenAI-compatible endpoints, or local models instead of locking users to one model vendor.

Floot MCP logo

Floot MCP

AI App Builders / Prompt-to-App Tools

Floot MCP turns Claude, ChatGPT, Codex, Cursor, and other MCP clients into full-stack app builders connected to Floot's managed runtime. The assistant supplies the model and reasoning while Floot handles projects, backend services, previews, and publishing.

PR Lens by Coldtea logo

PR Lens by Coldtea

Code Review & Testing

See a pull request as an animated architecture or data-flow diagram before reading the diff. PR Lens highlights additions, modifications, and removals through a GitHub App, CLI, or agent skill.

Kit by Speakeasy logo

Kit by Speakeasy

Terminal / CLI Coding Agents

Kit is an open-source coding agent runtime with a terminal client, ACP server, and A2A endpoint. Its compose tool combines file work, commands, and delegation in one executable program.