Your AI Dashboard Is Green. Your Delivery Isn't.
A diagnostic companion to DORA and DX metrics for SDMs and Directors Faros AI looked at telemetry from about 10,000 developers and found that teams with high AI adoption merged 98% more pull requests

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A diagnostic companion to DORA and DX metrics for SDMs and Directors Faros AI looked at telemetry from about 10,000 developers and found that teams with high AI adoption merged 98% more pull requests

There's one question that quietly ends more transformation programs than bad architecture ever will. "What changed for the business?" It usually arrives in budget season. The team has been working har

TLDR: I ship 800–1,500 tests per project, and I still shipped a tool with 1,558 green tests and an open auth hole. That's why I think the evidence trail, not coverage, becomes the metric that matters

TLDR: I spent 12 weeks running my own career like a production system — 40+ articles, 12+ open-source tools, and a metrics file now on version 93. The first thing that broke was the dashboard, and it

Remember your first week at a tech company? You didn’t lack raw intelligence—you lacked context. You didn’t know where the internal credentials lived, how the microservices communicated, or why the CI

TLDR: AI has made prototypes, POCs and MVPs cheap — a plausible demo in days. What has not gotten cheaper is everything after: reliability, adoption, governance, cost-to-serve. Teams that fund project
