AI writes code in seconds, but delivery still takes days
AI pushed throughput up 59%, yet median delivery got worse. The bottleneck moved to validation. How replaying production traffic in CI closes the gap.
Browse 30 posts in this category
AI pushed throughput up 59%, yet median delivery got worse. The bottleneck moved to validation. How replaying production traffic in CI closes the gap.
Metrics, logs, and traces were built for humans and cheap storage. AI inverts both assumptions, and the next maturity level is a deterministic replay sandbox.
Logs, metrics, and traces are a lossy compression of production. Five things you can do with a traffic data lake that observability can't.
Explore the technical architecture of the AI Software Factory, focusing on tool convergence and the Unified Context Layer.
Learn how VPs of Engineering must adapt org charts, engineering roles, and performance metrics to lead in the era of the AI Software Factory.
Discover why AI coding agents are breaking Agile workflows and driving the shift to an intent-based AI Software Factory.
A marketing intern's journey from CMS drag-and-drop to running Claude in a terminal, and why validation still matters as AI speeds up development.
AI coding adoption is high and trust is dropping. A testing pyramid for agents, plus reproducible production context that grounds AI in real behavior.
Trace-based testing uses OpenTelemetry traces as replayable test input so CI catches production regressions before deploy, not after incident review.