Can I use Gemini for coding for free?

The gemini.google.com web app and Gemini CLI each have a free tier that includes code generation. Gemini Code Assist for enterprise requires a paid plan. Check the Google AI pricing page for the current limits on each tier.

Is Gemini good at coding?

Gemini performs well on code generation and review tasks, particularly for Python and JavaScript. How it compares to other AI assistants on a specific task depends on the problem and the context you provide. Running the same task through both is the most reliable way to check.

Does Gemini understand my full codebase?

In the web app, Gemini only sees what you paste in. In Gemini CLI, you can share files from your project directory. For large codebases, you select which files to include; Gemini does not index or crawl your repository on its own.

Does Gemini run the code it writes?

Not by default. Gemini suggests code that you run in your own environment. Some Gemini tiers include a code execution environment for analysis tasks, but that is separate from running tests or services in your local project.

Can I use Gemini and Claude Code on the same project?

Yes. Each assistant accesses your files through its own interface. If you keep the project context and task state in a shared tool like fenbs, both assistants start each session with the same information.

Does Gemini Code? What It Can Do and What to Check

Gemini can write, review and explain code across several interfaces, from the web app to the Gemini CLI in your terminal. Here is what each option covers and what to keep in mind before you ship.

July 30, 2026Updated October 21, 20266 min read

Yes, Gemini writes code. You can ask it to generate, review, debug and explain code in the gemini.google.com web app, through Gemini CLI in your terminal, and through Gemini Code Assist in editors such as VS Code and JetBrains IDEs. Each interface has a different fit depending on whether you are exploring a problem or working inside an active project.

The output always needs review. How much context Gemini holds about your project depends on the interface and how you set it up. Tools like fenbs keep the task description, test criteria and known constraints outside the session, so that context stays available when you change interfaces or hand the work to a different assistant.

What Gemini can do with code

Gemini handles a wide range of coding tasks: generating functions, classes and scripts from a description; explaining existing code line by line; debugging by reading error messages alongside the surrounding code; writing unit tests for a given function; converting code between languages; and reviewing pull request diffs.

It works across multiple programming languages. Python, JavaScript, TypeScript, Java, Go, Rust and C++ are among the languages it handles reliably. For less common languages, check the output against the language's own documentation rather than assuming correctness.

For a direct comparison of Gemini's coding capabilities alongside Claude Code's, see the gemini-cli-vs-claude-code guide.

The three main interfaces for coding with Gemini

The web app at gemini.google.com is the easiest place to start. Paste in a function or an error message and ask a question. It works well for isolated problems where you do not need to share multiple files at once.

Gemini CLI runs in your terminal and can read files from your project directory. This closes the gap between the model and your actual codebase. You point it at a file and ask questions; it reads the code rather than requiring you to paste it. The gemini-cli-vs-gemini-code-assist comparison covers when CLI is the better choice over the editor integration.

Gemini Code Assist integrates directly into VS Code, JetBrains IDEs and other supported editors. It provides inline completions and a chat panel that knows which file you have open. For teams using Google Workspace, Code Assist also has an enterprise tier with additional admin controls. The gemini-code-assist-vs-copilot comparison covers when each is the stronger choice.

Context: what Gemini actually sees in a session

When you use the web app, Gemini only sees what you paste in. A long context window does not help if you do not share the relevant files. In Gemini CLI and Code Assist, you control which files you share, and the session can include multiple files.

Project context — the task description, acceptance criteria, style rules and decisions already made — still needs to come from somewhere. If you do not pass that context at the start of a session, Gemini will make assumptions or ask you to provide it mid-task, which slows things down.

How fenbs helps

Bring the task context into every session

fenbs keeps the task description, Decisions and rules, and Where we left off in one place. Connect Gemini CLI to your fenbs project over MCP (see Integrations) and ask it to read the project context before writing the first line of code. Your constraints and instructions are in the session from the start.

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What Gemini does not do for code

Gemini does not run your code on your machine by default. You write its output to a file and run it yourself. Some Gemini plans include a code execution environment for data analysis tasks, but that is separate from running a server or a test suite in your actual project.

Gemini Code Assist does not push code to your repository or merge pull requests. It writes and suggests; a person reviews and commits. If you want a coding agent that takes those steps autonomously, that is a different category of tool with its own access requirements and review considerations. For a comparison of Claude Code versus Gemini's agent-level product, check the Gemini Jules documentation on the Google AI site.

Choosing the right interface for your coding task

Gemini coding interfaces and when to use each
Task	Best interface
Debugging an isolated function or error message	Web app (paste the code and error)
Working inside a local project with multiple files	Gemini CLI
Inline completions while writing code	Gemini Code Assist in VS Code or JetBrains
Enterprise team using Google Workspace	Gemini Code Assist Enterprise tier
Comparing Gemini output with another assistant on the same task	Any interface, with the same context stored in fenbs

How to do this with fenbs

Create a free account and add your coding project to fenbs.
Write the task description, acceptance criteria and any Decisions and rules for the project (style guide, libraries to use, test requirements).
Connect Gemini CLI to your fenbs project over MCP. See Integrations for current connection steps.
At the start of each session, ask Gemini CLI to read the fenbs context for the project, so your instructions and constraints are in the session before you start.
When the session ends, save the task progress to fenbs so the next session — on any supported assistant — starts from the same state.

For Gemini's tools for working with documents and research alongside code, see the gemini-notebook guide. For reusable instructions in Gemini (Gems are moving to skills on personal accounts from November 2026), see the gemini-gems guide.

Reviewing the output before you ship

Before merging or deploying anything Gemini wrote, run your test suite and read the diff. Check for placeholders, comments that say "implement this", unused library imports and functions that match the name you asked for but miss edge cases from your requirements.

AI-generated code often looks correct at a glance and fails on a second input that differs from the examples you gave. Test the boundary conditions, not just the expected case. The value of an AI coding assistant is in the first draft; the value of your own review is in what actually ships.