Introducing Context: A Free CLI Tool for Optimizing Your AI Studio Workflow

In the ever-evolving landscape of AI development, managing data efficiently is crucial—especially when working with advanced models like Gemini 2.5 Pro. The capabilities of this AI model, particularly its extensive context window, can be a game-changer for developers. As the founder of a project called ThinkBuddy (a subtle plug there, okay?), I’ve experienced firsthand the advantages of providing comprehensive codebases to AI Studio. However, sometimes simply throwing everything into the model isn’t the best strategy. This brings us to the importance of quality over quantity in your code submissions.

To enhance your workflow, I’ve developed Context, a free command-line interface (CLI) tool that offers a more controlled method of preparing your repositories for AI Studio, particularly for the Gemini 2.5 Pro model. Its ability to filter and format your code makes it a valuable asset—without the cost associated with other solutions like Cursor or Windsurf.

Why Context Stands Out

The beauty of Context lies not just in its effectiveness, but also in its ease of use. Installation is a breeze—one command gets you started on Mac, Linux, or Windows. Check it out on GitHub for a straightforward setup: Context on GitHub.

Once installed, using Context is simple:
– Navigate to your project directory and execute context (or however you prefer to alias it).
– The tool scans your files, leveraging .gitignore alongside a smart filtering system to exclude unnecessary folders like node_modules and build directories. This keeps the context organized and conserves tokens.
– Code is compiled into a neatly formatted Markdown with proper syntax highlights and file paths, ensuring it meets the expectations of AI models.
– You’ll see a preliminary tree view indicating what’s included, making it easier to review before copying everything to your clipboard.

A Closer Look at Output

Here’s a snapshot of how Context structures the project data:

“`

Project Structure & Statistics

Directory: ~/path/to/your/project
Legend: ✅ = included | ❌ = excluded/filtered

Project Tree & Statistics

.
├── node_modules ❌
├── src ✅
│ ├── api ✅
│ │ └── v1 ✅
│ │ ├── deployments.routes.ts ✅