devloop-bench-cycle

You can automate this workflow by running a devloop cycle that executes cargo bench, collects criterion statistics like mean and median, and persists the results into a local SQLite database for history tracking.

Tracking Rust performance regressions requires persisting benchmark cycles in SQLite to compare criterion data across historical runs, validate against predefined budgets, and identify negative performance trends over time.

Setting performance budgets for Rust benchmarks involves defining acceptable thresholds during the devloop cycle, which validates collected criterion data against these limits and automatically alerts you when a performance regression occurs.

Yes, devloop benchmarking integrates with standard Rust workflows by applying to Rust projects that use cargo bench to collect criterion data, compare it against budgets, and persist the results for history tracking.

Criterion benchmarking within a devloop cycle collects statistical data including the mean, median, and standard deviation, which are then used for budget validation and persisted for historical comparison.