# AlgoLens

**Analyze. Optimize. Accelerate.**

AlgoLens is a Visual Studio Code extension focused on helping developers understand and improve their code through analysis, performance insights, security checks, optimization guidance, and documentation workflows.

> **Status:** Early development / pre-release

## What is AlgoLens?

AlgoLens is being developed as an all-in-one developer assistant for code understanding and improvement inside Visual Studio Code.

The project includes:

- Code analysis and complexity insights

- Runtime and memory analysis

- Bug and code-smell detection

- Security analysis

- AI-assisted optimization

- Documentation generation

- Visualization and reports

- Local analysis history

- VS Code integration

## Current Extension

The current VS Code extension provides the foundation for the AlgoLens extension host and workspace integration.

Available commands include:

- **AlgoLens: Show Extension Info** - displays extension and dependency information.

- **AlgoLens: Show Workspace Context** - displays the workspace context available to AlgoLens.

Additional analysis and AI capabilities are being integrated progressively.

## Installation

### From Source

Clone the repository:

```bash

git clone https://github.com/salam-codezhub/AlgoLens.git

cd AlgoLens

npm install

npm run build

Development

From the repository root:

npm install

npm run build

For development, use the extension development build and watch workflow as needed.

Roadmap

AlgoLens is being developed incrementally toward a complete code intelligence and developer-assistance experience inside Visual Studio Code.

Planned and ongoing areas include deeper code analysis, performance insights, security scanning, AI-assisted optimization, documentation, visualization, reporting, and richer VS Code integration.

Repository

Source code and project development are available on GitHub:

https://github.com/salam-codezhub/AlgoLens

License

AlgoLens is released under the MIT License.

Contributing

Contributions, bug reports, feature ideas, and improvements are welcome. Please open an issue or pull request in the GitHub repository.