agent-lab

Apply Designing Data-Intensive Applications inspired architecture reasoning for backend engineering and system design. Use when reviewing or designing data-intensive systems, database choices, storage/indexing, replication, partitioning, transactions, isolation levels, distributed faults, consistency, consensus, batch processing, stream processing, derived data, correctness, reliability, scalability, maintainability, or operational trade-offs.

Minimal coding skill used by Agent Lab smoke tests.