#1 on Spider 2.0–DBT Benchmark – How Databao Agent Did It | The JetBrains Blog

Databao Agent achieved the top ranking in the Spider 2.0–DBT benchmark by focusing on enhancing agent reliability through improved context and a disciplined workflow, rather than relying solely on advanced models. The benchmark evaluates how well agents manage real dbt projects, requiring them to understand incomplete repositories, implement necessary SQL models, and ensure successful execution. Initially, Databao's agent struggled with consistency due to insufficient context and natural ambiguities. By providing targeted information and enforcing a structured workflow, the team reduced errors and improved performance. This approach emphasized the importance of stability and clarity over clever strategies, leading to a more controlled and predictable agent behavior. The team's insights highlight that effective agent development involves not just technical sophistication but also robust environment design, with ongoing efforts to further refine error detection and variance reduction.