Core Software Team

Most AI coding workflows live in a single thread. That works until the work gets larger than the prompt.

When you're translating stakeholder requirements into real features, subtle drift starts to happen. Architectural decisions get made implicitly. Specs evolve mid-stream. Implementation slowly diverges from intent. You end up managing misalignment instead of building.

This system introduces structure.

Five distinct agents. Clear responsibilities. Explicit handoffs.

Product Owner clarifies scope, produces PRD and backlog Tech Lead defines architecture and implementation plan Developer handles complex logic and design decisions Junior Developer executes structured tasks and boilerplate Quality Engineer reviews code, tests, and enforces alignment

Each role works within its own context and produces concrete artifacts for the next. Requirements become documents. Architecture becomes a plan. Implementation follows that plan. Review closes the loop.

Specs, architecture, and code stay aligned.

The workflow is mildly opinionated. It encourages documenting decisions and working in phases. That constraint produces cleaner, more maintainable output than a single unstructured session.

The site you're reading was built with this system. I use it daily in a corporate environment to turn vague requests into production-ready features.

Setup is straightforward: unzip, move the agent files into your Copilot prompts directory, and begin with the Product Owner. The included guide explains the handoff pattern and how to run the system effectively.

You could design something similar yourself. Iterate on prompts, experiment with role boundaries, refine handoffs over a few weeks.

This is the result of having done that work already.