Subagent-Driven Development FAQs

Question 1

How does this skill prevent context pollution?

Accepted Answer

By creating a fresh subagent for every task, the AI avoids carrying over unnecessary history or potential hallucinations from previous tasks, ensuring the subagent focuses only on the current task requirements and relevant files.

Question 2

When should I avoid using parallel execution in SADD?

Accepted Answer

Parallel execution should be avoided when tasks have shared state, depend on each other's outputs, or require changes to the same files, as this could lead to merge conflicts or inconsistent logic.

Question 3

Can I use SADD for parallel task execution?

Accepted Answer

Yes, SADD supports parallel investigation and execution for unrelated tasks, such as fixing bugs in different subsystems, which significantly reduces the time required to complete large batches of work.

Question 4

Does it include automated code reviews?

Accepted Answer

Yes, a core principle of SADD is the integration of a code-reviewer subagent that audits the output of implementation subagents before a task is marked as complete, enforcing high quality throughout the session.

Question 5

What is Subagent-Driven Development (SADD)?

Accepted Answer

SADD is a specialized workflow where a primary agent manages a development plan by dispatching fresh, isolated subagents for individual tasks, ensuring each piece of work is implemented cleanly and reviewed immediately.

Subagent-Driven Development

Subagent-Driven Development

About

Key Features

Use Cases

About

Key Features

Use Cases