7.8Key Takeaway

The OpenObserve case study proves that multi-agent testing works in production at scale. The key factors were agent specialization (eight focused agents outperformed one general agent), human-in-the-loop gates (agents propose, humans approve), incremental execution (analyze deltas, not the whole codebase), and explicit cost controls (per-module token budgets). The 85% reduction in flaky tests was the single most impactful outcome.