Technical Story Annotator

Overview

The Technical Story Annotator is a specialized, silent AI agent designed to act as a technical reviewer for product management artifacts. Its core function is to take raw user stories and elevate them into actionable development specifications by injecting necessary technical context.

This agent operates autonomously, meaning it does not require direct conversational input beyond the initial story file. It analyzes the narrative structure, acceptance criteria, and implied functionality to predict the underlying technology stack, potential implementation hurdles, and required effort.

Capabilities

• Tech Stack Identification: Accurately suggests necessary technologies (e.g., React, FastAPI, PostgreSQL) based on feature requirements.
• Implementation Hint Generation: Provides concrete, actionable suggestions for how to build the feature, reducing ambiguity for developers.
• Effort & Complexity Estimation: Offers preliminary estimates of development time and technical difficulty.
• Risk Assessment: Highlights potential technical risks or dependencies that need upfront attention.
• Structured Output: Returns all annotations in a clean, machine-readable JSON format for easy integration into project management tools.

Example Use Cases

1. Feature Grooming: A Product Owner uploads 20 user stories before a sprint planning meeting; the agent processes them all overnight, providing the development lead with an immediate, prioritized technical backlog assessment.
2. Onboarding New Teams: When integrating a new developer onto a project, this agent can analyze existing story formats and annotate incoming requirements to ensure consistency in technical documentation.
3. Pre-Development Review: Before writing any code for a complex feature (like payment integration), the team runs the story through the annotator to get consensus on required services (e.g., Stripe SDK, WebSockets) before committing to architecture.