Captures, catalogs, and applies lessons learned from user corrections, failed approaches, and process improvements — creating an institutional memory that prevents the same mistakes from recurring.

Guiding Principle

"A mistake made once is a lesson. A mistake made twice is a choice. A lesson tracked is a mistake prevented."

Procedure

Step 1 — Capture the Lesson

Detect correction events: user corrects output, approach fails, assumption proves wrong.
Record the lesson with structured metadata: date, context, trigger, category.
Capture the incorrect behavior or output (what went wrong).
Capture the correct behavior or output (what should have happened).
Identify the root cause: knowledge gap, incorrect assumption, process failure, or context loss.

Step 2 — Classify and Catalog

Captures, catalogs, and applies lessons learned from user corrections, failed approaches, and process improvements — creating an institutional memory that prevents the same mistakes from recurring.

Guiding Principle

"A mistake made once is a lesson. A mistake made twice is a choice. A lesson tracked is a mistake prevented."

Procedure

Step 1 — Capture the Lesson

Detect correction events: user corrects output, approach fails, assumption proves wrong.
Record the lesson with structured metadata: date, context, trigger, category.
Capture the incorrect behavior or output (what went wrong).
Capture the correct behavior or output (what should have happened).
Identify the root cause: knowledge gap, incorrect assumption, process failure, or context loss.

Lessons Learned Tracker

Guiding Principle

Procedure

Step 1 — Capture the Lesson

Step 2 — Classify and Catalog

Lessons Learned Tracker

Guiding Principle

Procedure

Step 1 — Capture the Lesson

Step 2 — Classify and Catalog

Step 3 — Apply Preventive Measures

Step 4 — Verify Non-Regression

Quality Criteria

Anti-Patterns

Continuous Learning V2

Continuous Learning V2

Continuous Learning V2

Continuous Learning

Continuous Learning

Pytorch Patterns