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End-to-end feature implementation automation works by orchestrating research, planning, coding, testing, and review phases. It intelligently detects user intent and uses subagents to handle specialized tasks, minimizing manual intervention across the entire workflow.

Using a coding assistant with a no-test execution mode allows you to implement features while skipping the testing phase. The workflow still orchestrates research, planning, coding, and review, but omits automated test generation based on detected intent.

Workflow orchestration supports multiple execution modes including parallel, auto, fast, and interactive. This allows the feature implementation process to run specialized subagents concurrently for research, coding, testing, and review tasks.

You can execute code for existing plans using the code-execution mode. This skips initial research and planning phases, directly applying the orchestration workflow to implement code based on the predefined plan.

Intelligent intent detection analyzes user input to automatically select the most suitable workflow mode, such as interactive, auto, fast, or parallel. It evaluates the request context to orchestrate the appropriate research, coding, testing, and review phases.