Stop the trial-and-error indexing. Use AI to analyze query plans, refactor complex SQL, and build a database that actually scales.
Apply senior-level AI workflows to your data layer.
Learn how to feed EXPLAIN ANALYZE output to AI to identify exact bottlenecks and missing indexes in seconds.
Stop letting inefficient ORM calls kill your performance. Use AI to scan your code for hidden circular dependencies.
Determine exactly which composite indexes you need based on real-world query patterns and AI analysis.
Safely convert messy raw SQL or complex Eloquent queries into high-performance database-level operations.
Plan migrations and schema changes without downtime by using AI to predict performance implications.
Identify where Redis or application-level caching will have the most impact using data-driven AI insights.
Dump your EXPLAIN (ANALYZE, BUFFERS) output directly. AI identifies the exact node causing the sequential scan.
Provide your schema DDL. The AI suggests missing indexes or structural changes based on the actual query planner's logic.
AI generates the migration and the verification query to prove the improvement before you deploy to production.
Yes. While the mental models are database-agnostic, our examples and labs focus on PostgreSQL and MySQL, the most common choices for modern web applications like Laravel and Node.js.
This is designed for Senior Software Engineers. You don't need to be a DBA, but you should understand basics like indexes and primary keys. We teach you how to use AI to bridge the gap to expert-level optimization.
It's about providing the right schema context. We teach you 'Context Control'—exactly what parts of your DDL and query logs to provide so the AI can reason about your specific data structure accurately.
The same course that teaches you to ship features, teaches you to scale them.
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