Build with words, not boilerplate
If you can explain it, you can build it. With Gemini CLI, you describe the outcome (“a Telegram bot that summarizes YouTube links and saves notes to Google Sheets”), and it generates the code, explains each step, and helps you run it—right from your terminal. You can prompt in English or Khmer and iterate as your idea evolves.
# Start where you are
gemini
What makes it “code without knowing code”
- Natural prompts to projects: Tell it the features; it scaffolds files, folders, tests, and scripts.
- Explains as it goes: Clear, step‑by‑step reasoning and diffs so you learn only what you need.
- Edit by asking: “Make it faster,” “add pagination,” “convert to TypeScript,” “add Khmer i18n.”
- Use your own materials: Point it at PDFs, images, or sketches to generate app skeletons.
- Scale to big contexts: Work across large codebases without losing track of details.
Tip: Keep prompts goal‑focused. Describe inputs, outputs, constraints, and “done” criteria. Short, concrete examples work wonders.
Try it in 60 seconds
You can run Gemini CLI instantly with npx, or install it globally with npm or Homebrew. It supports macOS, Linux, and Windows with Node.js 20+. Free tiers are available via OAuth (60 requests/minute and 1,000/day) or API key (100/day), and you can step up to Vertex AI for enterprise limits and security.
# Run instantly (no install)
npx https://github.com/google-gemini/gemini-cli
# Global install (npm)
npm install -g @google/gemini-cli
# Homebrew (macOS/Linux)
brew install gemini-cli
Practical starters you can copy
- Personal site: “Generate a responsive portfolio with a Khmer/English language switcher, dark mode, and Netlify deploy script.”
- Chat bot: “A Discord bot that summarizes links, answers FAQs from FAQ.md, and logs errors to a file.”
- Data helper: “Read a CSV of expenses, group by category, and output a monthly report as a chart and PDF.”
- Bug buster: “Explain why this function is O(n²). Refactor to O(n log n) and add a benchmark.”
Under the hood, so you don’t have to be
Gemini CLI brings a large context window, built‑in tools (Google Search grounding, file operations, shell/web fetch), automation via scripts, and optional GitHub workflow integration. You can authenticate with OAuth, API keys, or Vertex AI, and extend it with MCP servers when you’re ready to add custom capabilities—all open‑source under Apache 2.0.
Resource: Gimini CLI github Repository
Seng Seang Leng
Web Developer
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