# GitHub Copilot CLI vs ASI Biont: Parallel Agent Architecture for Developers ## Introduction GitHub announced an update to Copilot CLI with the /fleet architecture, where specialized agents—Explore (for code analysis) and Task (for command execution)—work in parallel. By 2026, this system will be available to all Copilot subscribers. Of particular interest is the Rubber Duck mode, where GPT-5.4 and Claude 4.5 models "debate" in the terminal to generate optimal code. ## ASI Biont Architecture At ASI Biont, we use a similar but more flexible approach. Our platform allows you to create teams of specialized agents (PR, analytics, development) that work in parallel and exchange data through a shared context. Unlike Copilot CLI's fixed agents, our agents are customizable to specific business tasks. ## Key Differences 1. **Flexibility vs Specialization**: Copilot CLI offers ready-made agents for development, while ASI Biont allows you to create any agents tailored to business needs. 2. **Integration**: Copilot CLI operates in the terminal, whereas ASI Biont integrates with email, GitHub, CRM, and other services. 3. **Models**: Copilot uses the GPT-5.4/Claude 4.5 conflict model, while we support any models via API. ## Practical Scenarios - **Code Refactoring**: In Copilot CLI, the Explore agent analyzes code, and Task makes changes. In ASI Biont, you can add agents for testing and documentation. - **Routine Automation**: Both approaches allow automation of repetitive tasks, but ASI Biont covers a broader spectrum (email, analytics, content). - **Team Collaboration**: Our platform is ideal for distributed teams, where each agent is responsible for its own domain. ## Conclusion Parallel agent architecture is the trend of 2026. GitHub Copilot CLI offers a ready-made solution for developers, while ASI Biont provides a flexible platform for businesses. Both approaches complement each other: Copilot for code, ASI Biont for everything else. ## Call to Discussion Which architecture better suits your tasks? Share your experience with multi-agent systems in the comments or write to us at asibiont@gmail.com. Let's discuss the future of autonomous agents together!