implementing-in-background

You can execute multi-LLM agents in parallel by orchestrating Claude, Codex, and Gemini to handle decomposed tasks simultaneously, ensuring context-safe execution with auto-save and round-directory organization.

Context-safe parallel execution isolates plan contexts to prevent task interference during round-based task decomposition, keeping outputs organized and preventing agents from overwriting each other's progress.

To start a new implementation round, instruct the agent to analyze your planning document and initiate the process in the .context/impl directory, which automatically creates the structure for output consolidation.

Yes, you can safely orchestrate multiple AI agents like Claude and Gemini by enforcing plan isolation and error handling, which prevents task interference during parallel execution.

Yes, parallel agent-based implementation features round-based progress tracking that automatically organizes per-round outputs into a dedicated directory structure for safe consolidation.

Round-based task decomposition requires manual verification to ensure accuracy, as the system enforces safe coordination but still relies on human oversight for final output validation.