1. Identify the performance bottleneck or design challenge.
2. Determine the relevant PostgreSQL pattern (e.g., indexing, data type).
3. Generate the appropriate SQL code based on the pattern.
4. Apply the SQL code to the database.
5. Analyze the query plan and execution time.
6. Refine the pattern as needed.