CodeBuilder: A multi-agent development environment

The idea

CodeBuilder explores how a group of specialized agents can collaborate inside a live development environment. A user describes a feature in plain language, then watches the system plan the work, edit files, run the application, capture errors, and iterate.

System design

• Next.js provides the application shell and interactive development interface.
• A Python gRPC service processes requests and coordinates longer-running work.
• AutoGen manages agent roles and handoffs for planning, implementation, and review.
• WebSockets keep the interface synchronized with file changes, runtime output, and errors.

Engineering focus

The difficult part was not generating code. It was deciding how work should be divided, what context each agent needed, and how the system should respond when generated code failed at runtime.

CodeBuilder captures application errors and returns them to the active workflow. This creates a tighter loop between writing, running, observing, and repairing code.

Result

The prototype demonstrates a practical multi-agent pattern for software work: explicit roles, shared state, observable execution, and feedback from the running system. It also provides a useful test bed for comparing models and orchestration strategies without rebuilding the surrounding IDE.