Dereference

Claude Code is a futuristic IDE that seamlessly integrates with CLI AI tools such as Claude Code and Gemini CLI. Its main advantages are that it provides multi-session orchestration, atomic branching functions, and greatly improves developer productivity. Products are designed for fast delivery developers.

Demand population:

The target audience is developers who need to deliver projects quickly. The reason why Claude Code is suitable for them is that it provides multi-session orchestration and atomic branching functions, greatly improving development efficiency and helping to quickly verify different solutions.

Example of usage scenarios:

The software development team uses Claude Code to accelerate the project delivery process.

AI researchers use Claude Code to explore the performance of different AI models.

Individual developers improve personal development efficiency through Claude Code.

Product Features:

Multi-session orchestration: allows users to manage multiple AI sessions at the same time, making it easy to quickly switch contexts.

Atomic branch: Similar to Git branch operations, users can create branches in conversation history and explore different solutions.

100 times developer productivity: greatly improve development efficiency through multi-session orchestration and atomic branches.

High performance experience: Built based on Rust, optimize speed and memory usage without worrying about performance issues.

Parallel AI Sessions: manage different AI sessions simultaneously, quickly switch and compare the effects of different models.

Atomic branch operations: Git-like branching and merge functions to maintain the integrity of the context.

Multi-session orchestration function: facilitates users to flexibly switch between different AI sessions.

Lightweight desktop client: pure native performance, fast response, suitable for all platforms.

Tutorials for use:

Download and install the Claude Code desktop client.

Open the app and log in to your account.

Create a new session or import an existing AI session.

Use multi-session orchestration to manage sessions and create atomic branches for experimentation.

Merge the best results back to the main session stream.

Explore the effects of different AI models and improve development efficiency.