ai-factory.implement

Sequential task execution works through a defined plan one by one, marking items as in progress and completed. It automates progress persistence and contextual code modifications to implement features without losing your place.

Yes, session continuity and progress persistence allow you to pause and resume code implementation later. The workflow automatically saves your progress, loading project context and past patches to inform subsequent development tasks.

Automated task execution requires tools for reading files, writing code, globbing, grepping, and bash execution. These task management and file manipulation tools enable the workflow to handle code modifications and project context loading.

Contextual awareness reads project descriptions and past patches to inform implementation decisions during feature development and bug fixing. This ensures code modifications align with existing project structures and previous task execution contexts.

Managing development workflow progress is best handled by systematically implementing each feature sequentially from a defined plan. Task status updates and progress tracking ensure features are built methodically, from creating models to adding endpoints.

Yes, the implementation workflow supports both feature development and bug fixing tasks. It handles task status updates, code modifications, and project context loading to manage progress and session continuity across various coding scenarios.