team-perf-opt

Multi-agent performance optimization is coordinated through a staged pipeline that runs profiling, strategy design, code changes, benchmarking, and review with clear ownership and validation checkpoints. This ensures correctness while improving speed.

Automating code review and benchmarking for parallel pipelines requires enforced review-fix cycles and validation gates. The workflow maintains branch-scoped artifacts to verify improvements and catch regressions before completion.

Yes, fan-out and independent optimization workflows support multiple backend service targets. The pipeline shapes allow single-path optimization for one target or parallel execution for many independent codebase hot paths simultaneously.

Profiling hot paths with task coordination uses persistent session state to track progress across agents. It generates a prioritized optimization plan, applies fixes, and verifies results through structured stages without losing branch context.

Parallel pipelines for performance tuning should be avoided when codebase targets have tight interdependencies. Independent workflows require branch-scoped artifacts and validation gates to prevent regressions, which may not suit highly coupled single-path modifications.