Give your coding agent the decisions behind the software.

A working screen can still solve the wrong problem

Ask an agent to build a request portal and it can produce a form, a list, and an approval button. That leaves the difficult decisions open: who can approve, when a request can change, and what happens if the reviewer is unavailable. Those choices affect permissions, data, and tests, even when the interface looks finished.

AI-assisted software development needs those decisions for the same reason any development project does. The team needs a shared description of correct behaviour. The coding agent can help investigate implementation choices; the business owner still has to settle the business rules.

Prepare the business context before the coding task

In AlphaTales, your team reviews the project foundation: the problem, expected outcome, users, work, and relevant systems and rules. Application workflows make the roles, handoffs, decisions, and exceptions explicit. Your team reviews which flows belong in scope before developing feature specifications.

Those specifications carry functional requirements and acceptance checks into the build. Architecture planning adds the technical direction and stack choices for review. Together, they give an agent a reason for the change, a boundary for its work, and behaviour it can check. A list of features alone cannot do that.

What to prepare for an AI coding agent

Choose how the plan reaches the agent

Dev Pack gives you downloadable planning files for the items you select. Put the extracted files where the coding agent can read them. This is useful when you want a deliberate handoff that can be reviewed with the code. It is a snapshot, so export again when the approved plan changes.

Build MCP provides a connected route. Once authenticated and pointed at the right project, a compatible client can request project planning context and feature implementation details. MCP is the connection to AlphaTales tools; the coding client does the repository work. It does not remove the need to review requirements or check what the agent changes.

Understand Dev Pack and the connected handoff

Where the AlphaTales plugin fits

The AlphaTales Agent package brings together Plan MCP, Build MCP, and workflow skills. Plan MCP handles planning context and the planning journey. The build workflow checks planning completion before handing the project to Build MCP. The skills guide that sequence; they do not replace the underlying project permissions or approvals.

Plugin support and installation differ between coding clients. A package being available does not mean it is listed in every marketplace or connected to your account. The direct MCP connection and Dev Pack files are separate ways to work with the plan. Use the guide for your chosen client to configure the connection.

Keep the build tied to the agreed requirements

Start with a feature small enough to review. Ask the agent to read its requirements and inspect the existing code before proposing changes. Compare its approach with the architecture and repository conventions. If the two disagree, resolve the conflict before it becomes an implementation assumption.

After implementation, review the diff and run checks against the expected behaviour, including permissions and failure paths. Requirements for AI-generated software should make those checks possible. AlphaTales supplies planning context; your development team owns the implementation, verification, and release.

This combination is particularly useful when business knowledge sits outside the repository or several people contribute to the plan. For a small, well-defined code correction, the existing issue and repository may already provide enough context. Use the amount of planning the change needs.