Keeping a software factory stable at 1,000 PRs a week

7.3 relevance

Practical insights on scaling CI/CD for large teams, directly applicable to platform engineering.

General dev.to

Answer the board on AI readiness

Arrive with evidence, not opinion. See how your foundation benchmarks against your peers, get a clear read, and leave with a ranked place to start.

Why It Matters

For a platform engineer focused on AI-driven SDLC, this demonstrates a concrete architecture for scaling agent-generated code without sacrificing quality, turning responsibility into a CI/CD and observability problem rather than a human review bottleneck.

Key Takeaways

Invest in automated test harnesses and review records you trust more than manual reading, and allocate ~20% of engineering time to infrastructure that enables that automation.

Keeping a software factory stable at 1,000 PRs a week

Summary

Kiro's three-engineer team sustains 1,000 weekly PRs by shifting quality responsibility from human code review to automated CI/CD pipelines, agentic testing, and a comprehensive review record. They invest 20% of time in infrastructure automation, push test coverage above 90% toward 100%, and use an automated review bot with mandatory resolution of all AI comments before merge. The system evolved through five unplanned stages, each solving a bottleneck revealed by faster agent-driven coding.

Author

Zejiang Guo