Added feedback flip pattern

Author: lexler

documents/patterns/feedback-flip.md

@@ -0,0 +1,40 @@
+---
+authors: [lada_kesseler]
+---
+
+# Feedback Flip
+
+## Problem
+AI focused on implementing is often unable to keep everything you're asking it to do in parallel in focus and give it equal priority.
+So code quality and other potential considerations don't get enough attention and suffer as a result.
+
+The First output is rarely optimal, but you don't have to limit yourself to the first output.
+
+## Pattern
+Flip from producing to evaluating:
+
+1. AI implements the task
+2. Different AI (or same AI, refocused): Gets task + code diff → "Find problems and suggest improvements"
+3. Feed critique back to original AI to fix
+
+**Variations:**
+- Different models, different windows (most variety)
+- Same model, different windows (very effective)
+- Same model, same window (just shift the focus)
+
+**Before human review:** Do this before PR/code review - catches obvious issues so humans start from better ground.
+
+## Why This Works
+When implementing, AI seems to be hyper-focusing on getting the goal completed, and the main goal to it is usually implementing the feature asked of it. 
+Quality takes lower precedence and suffers.
+
+Flip the focus to finding problems; now quality is the main goal. AI sees issues it couldn't see before because you've shifted what it's focused on. Even the same AI in the next prompt.
+
+We're shifting its focus to a new goal, and making it what is important to us its main priority for one of the iterations.
+
+## Example
+AI implements authentication. Focused on making it work.
+
+Flip: Second AI gets task + diff, finds a lot of issues with implementation.
+
+Give feedback to the first AI again, it fixes → code ready for human review.