A regional retailer's legacy ASP.NET MVC site can look perfectly healthy on an ordinary Tuesday. Then peak traffic arrives, an AI shopping assistant starts competing for CPU and memory, IIS worker processes reach their limits, orders stall, recommendations time...
AI-powered app development has reached a counterintuitive point: more AI adoption doesn't automatically produce faster delivery. A 2026 survey of 121,000 developers found that 93% used AI, while throughput gains rose only 9.97% (ShiftMag's coverage of the...
A VP of Engineering at a growing SaaS company has a roadmap that includes AI features, a payments rebuild, and a mobile app. Her in-house team can deliver one of those initiatives comfortably, perhaps two with painful trade-offs. The leadership team wants all three....
A finance director watches the quarterly close stall because the ERP can't export transaction data in the format regulators now require. The team builds a spreadsheet workaround, security reviews it too late, and everyone knows the same problem will return next...
The most popular advice about AI in software development is also the least complete: give developers a coding assistant and expect the whole delivery process to accelerate. That approach can produce more code, but production software depends on more than code...
Your team ships an AI feature, then prompt changes begin appearing everywhere. One engineer edits a Python string, another changes a YAML file, and someone else tests a “better” version in a notebook. A week later, nobody can answer which prompt is live, why output...
