gk-add-feature

Spec-driven feature development works by generating feature specifications, implementation plans, and task breakdowns before writing code to ensure planned, verified, and documented additions. This enforces a rigorous workflow that prevents feature drift and context loss.

The best way to add a feature without losing context is using a spec-first workflow that maintains a living record of codebase architecture, decisions, and progress. This ensures the agent always works from a grounded state across the development lifecycle.

You can automate task breakdown and progress tracking by triggering a structured feature development workflow that orchestrates incremental implementation and dependency tracking. This satisfies requirements for automated task generation and documentation synchronization.

Yes, you can maintain architectural consistency by enforcing a spec-first workflow that tracks dependencies and follows established design patterns. The agent understands existing codebase structures and updates project documentation incrementally during feature addition.

Spec-driven planning requires an existing codebase to apply its structured feature development workflow. It operates without external dependencies, directly orchestrating incremental implementation, dependency tracking, and documentation synchronization within the current project environment.

Feature drift happens due to context loss during AI-assisted development, which you can prevent by enforcing a rigorous spec-first workflow. This ensures every code addition is planned, verified, and documented incrementally across the lifecycle.