Research for teams building and operating software and data systems. Explore AI-generated SQL, database tuning, code modernization and resource allocation, with attention to correctness, performance and the cost of putting an approach into practice.
What Spider 2.0 reveals about AI-generated SQL, business definitions and enterprise workflows—and how to evaluate answers before trusting them.
How E2ETune learns database settings, why it reduces tuning time, and when its training costs make sense for a PostgreSQL fleet.
Why minimizing pipeline communication can sacrifice parallelism—and how the research compares grouping, startup time and execution time.
CodeScribe combines dependency context, prepared drafts and LLM translation for Fortran migration. Learn from its code failures and verification workflow.
Adaptive inference needs tested backends, routing and coordinated scaling. Learn from controlled accelerator shortages and build a useful failover test.
