Web UI for Gemini CLI + Gemini Code Assist — The New Era of AI Powered Development
Most devs still think Gemini CLI is only terminal based…
But actually, that era is gone. Now you can use Gemini CLI in two powerful ways:
Both together literally turn Gemini into a full AI Developer Platform — not just a command line tool.
This is a MASSIVE productivity unlock
Prerequisites- for Gemini-CLI-UI
Before you setup the Web UI, make sure you have:
Installation Steps (super simple)
git clone https://github.com/cruzyjapan/Gemini-CLI-UI.git
cd Gemini-CLI-UI
npm install
cp .env.example .env
# Edit the .env file with your preferred configs
npm run dev
Now open browser http://localhost:4009
Your Gemini Web UI Dev Cockpit is LIVE.
Getting Web Access for Gemini CLI
You have 2 ways:
Option 1 (Recommended) — Free Tier Google Login
When you launch Gemini CLI → choose “Login with Google”
Option 2 — API Key
export GOOGLE_API_KEY="YOUR_API_KEY"
You can get this from Google AI Studio.
Key Features You Get in UI
This is way more than just a “frontend” — this makes Gemini projects continuous.
How to Use Gemini CLI Web UI to Ask & Generate Code
Once your Web UI is running at http://localhost:4009, you can talk to Gemini just like you do in terminal — but in visual mode.
You can do:
Examples you can type inside the chat window:
Example prompts you can use:
Important Security Note
By default all Gemini CLI tools are disabled. You must manually enable only what you need. Click the ⚙️ gear icon (sidebar) → toggle tool access as required.
This prevents accidental dangerous operations. This is enterprise-grade thinking.
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Gemini Code Assist Extension inside VSCode
If you want a full hybrid workflow — browser UI + terminal + IDE — then also install the Gemini Code Assist VSCode Extension.
This lets you:
Steps to Install inside VSCode
Tip: if you see OfflineError / timeout → close all SSH remote windows → reconnect fresh → then open the Gemini panel again.
Building Your Entire Project Directly from VSCode using Gemini Code Assist
Once the Gemini Code Assist extension is installed in VSCode — you can literally generate full project scaffolding, files, folder structures, APIs, UI components and logic without manually coding everything yourself.
This is where Gemini CLI becomes REAL AI powered software development.
Inside VSCode → just open a blank folder and simply ask Code Assist:
“Create the project files and scaffold the application structure for me”
Gemini will now:
When Gemini Code Assist proposes the file changes → just press Apply
Gemini writes all code directly into your file system inside VSCode.
Then you simply ask:
“Run the project locally.”
Gemini will start your app from inside VSCode terminal automatically.
This combination of Gemini CLI + Gemini Web UI + Gemini Code Assist inside VSCode gives a complete end-to-end AI powered dev workflow where code is generated, created, edited, debugged and executed completely with AI.
This is the new AI Developer lifecycle.
Gemini CLI UI vs Gemini Code Assist (VSCode)
Gemini Code Assist (VSCode Extension)
Gemini CLI
WHY both exist together
Because your web UI part + VSCode coding part + terminal automation part = full AI developer workflow.
Now you can:
This is the NEW AI developer stack.
Conclusion — This is the New AI Native Dev Stack
We are officially entering a phase where “AI Assisted Development” is not a feature anymore — it is becoming the default mode of building software.
This is not about faster code writing. This is about removing friction between thinking → changing → running systems.
If you’re a developer today — this is the moment to start adapting this workflow early.
Because this is how software will be built going forward.
The low-friction Gmail signup plus IDE-native flow lowers adoption barriers massively. For small AI teams and freelancers, that's huge for experimentation budgets. When we wired Gemini into our orchestration prototypes, context-switching dropped sharply. Any plans for richer project-level memory so assistants understand evolving architectures better?