Introduction

This lesson picks up where that work left off in the previous module: AI-Assisted Feature Development for iOS; you have a finished plan in hand, and the next problem is getting an AI agent to actually build the feature it describes.

A plan is not a workflow. Before any code gets written, you need to know the order operations must happen in: which files are touched first, how many phases or waves the implementation breaks into, and which of those waves depend on earlier ones finishing, versus which can run side by side. Getting this sequencing right is what makes it possible to hand pieces of the plan to multiple subagents instead of working through it one step at a time.

This lesson focuses only on execution. Improving the plan itself, or fixing bugs that surface later in the implemented app, are both out of scope here — you’ll work with the plan exactly as it’s handed to you, and treat the resulting code as a first pass to be reviewed in the next lesson.

By the end of this lesson, you’ll be able to:

• Prompt an AI agent to break a feature plan into an ordered implementation sequence: the files it touches, and the phases or waves of work involved.
• Identify which parts of that sequence depend on each other and which can run in parallel.
• Turn that sequence into a concrete implementation strategy.
• Guide an AI agent to execute the strategy using a multi-agent workflow.