Databricks catches costly AI agent tool bugs, saves $1.2M annually
Databricks engineers found seven bugs in the internal tools their AI agents use, which were quietly burning through about $1.2 million a year and 12,000 engineering hours. Using a tracing tool called Unity Gateway, they tracked down and fixed these problems in about an hour. Most of the waste came from failed tool calls that were retried invisibly by the agents, padding token use and slowing work.
- Seven small tool bugs drove $499K/year in wasted compute
- Total impact: $1.2M/year including lost engineering time
- Took just one hour to trace and fix all problems
- Unity Gateway tracing made waste visible per tool session
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