Input: Jira issue description and context

AI Task: Break the solution into Frontend (FE) and Backend (BE) components:

• Identify core functionalities for each.

• Prioritize based on criticality to the solution.

Output: A structured table of FE and BE components.

Input: Components and tech stack context

AI Task: Propose lightweight architectures for FE and BE:

• For FE: Define UI framework and state management tools.

• For BE: Suggest API design and database integration patterns.

Output: A conceptual architecture sketch.

Input: Component details and architecture

AI Task: Generate conceptual code:

• FE: Provide basic UI structure and state management logic.

• BE: Create skeleton APIs and database interaction snippets.

Output: Lightweight code snippets for FE and BE components.

Input: FE and BE code sketches

AI Task: Review the sketches for feasibility:

• Highlight missing interactions between FE and BE.

• Propose improvements for modularity and scalability.

Output: A validation table for FE and BE components.