as-quick-dev

You can automate small code changes by dispatching AI agents for discovery, planning, and review. This approach generates minimal requirements and design summaries, allowing you to implement surgical code modifications efficiently without full planning overhead.

Yes, automated discovery scans the codebase for dependencies and relevant patterns. This allows the AI agents to understand the existing code structure before generating an abbreviated plan and designing test scenarios based on acceptance criteria.

The best way to perform an automated code review is by dispatching a dedicated reviewer AI agent. After the implementation agent completes the targeted change, the reviewer agent evaluates the code to ensure it meets the generated requirements and design summary.

Yes, automated planning for surgical code changes requires configuration and tool mappings for platform-specific execution. You must set up these dependencies before initiating the quick development process to ensure the AI agents operate correctly.

You should not use abbreviated planning for large-scale features or complex architectural changes. This approach is designed specifically for small, targeted code changes like bug fixes or configuration updates where full planning overhead is unnecessary.

To initiate a quick development process, run the command `/as-quick-dev <task-description>`. This triggers the automated workflow, which scans the codebase, generates a minimal plan, and dispatches AI agents for implementation and review.