Is code an expense or an asset?
A scientific doctrine for CTOs and CIOs on why treating code as OpEx destroys value and how asset capitalization restores velocity.
TeamStation AI | R&D Lab Staff
Why do distributed engineering teams stay busy but deliver less?
Distributed engineering teams often look productive while delivering less. This doctrine explains why flow efficiency collapses and how to fix it.
Why do nearshore vendors look identical but deliver very different results?
Why nearshore vendors look similar but deliver radically different results. A scientific analysis of transparency, governance, and coordination tax.
Why does compliance slow teams down instead of reducing risk?
Compliance slows teams when sovereignty is undefined. This doctrine explains how unmanaged constraints create coordination tax, latency, and hidden delivery risk.
Why is 'cheap' talent actually the most expensive talent?"
Cheap talent increases total cost when cognitive arbitrage is ignored. This doctrine explains how coordination tax, rework, and entropy destroy delivery economics.
Why does software delivery slow down as engineering teams grow?
Software delivery slows as teams grow when velocity debt compounds. This doctrine explains coordination tax, ghost velocity, and why scale without constraint fails.
Why do nearshore engineering teams fail after initial success?
Nearshore teams fail after early wins when coordination cost is ignored. This doctrine explains how entropy, rework, and ghost velocity destroy scale.
Why does adding more engineers reduce overall productivity?
The Verification Latency Curve
Abstract: The operational discipline of Verification Latency is not merely a technical preference; it is a fundamental economic lever in the modern distributed enterprise. This protocol analyzes the systemic failure modes associated with neglecting Verification Latency, validates the cost-of-inaction through the lens of TeamStation's
When does fixing AI code cost more than writing it
AI engineering collapses when reliability is undefined. This doctrine explains when fixing broken AI systems costs more than writing them correctly.
Why does engineering talent quality decline after onboarding?
Talent decay after onboarding is not a people problem. This doctrine explains how unmanaged retention creates coordination tax, ghost velocity, and delivery erosion.