The AI infrastructure decisions that age poorly
Some infrastructure choices that seem reasonable when you are building your first AI feature become serious liabilities as the system matures. The teams that have been building production AI long enough have learned which decisions these are. Most teams learn them the hard way.
The real cost of AI technical debt
AI technical debt accumulates differently than traditional technical debt and is harder to see until the costs become unavoidable. The shortcuts that look expedient in early AI deployments create compounding costs that most organizations are underestimating.
Why AI systems drift without contracts
AI systems degrade silently over time. Not because the model changes, but because the assumptions baked into the system (about inputs, outputs, and behavior) are never made explicit enough to enforce.
The observability debt in AI systems
AI systems accumulate observability debt faster than traditional software because the failures are probabilistic, latent, and compound before they surface. Here is what that costs when you actually pay it.