What is Antifragility (and why it matters in .NET)?

We usually try to build systems that don’t fail. But in reality, failure is always part of software. To understand this better, let’s look at three concepts introduced by Nassim Nicholas Taleb: Fragile A fragile system breaks when something goes wrong. Example: one service fails → everything crashes. Resilient (or Robust) A resilient system can handle failure and keep running. But it stays the same, and it doesn’t improve. Antifragile An antifragile system gets better when things go wrong. Failures, errors, and pressure help it learn and improve over time. What does this mean in software? In modern systems (especially microservices), failure is normal: APIs can go down networks can be slow databases can timeout deployments can introduce bugs Most systems try to handle failures. Antifragile systems try to learn from failures. That means: understanding why failures happen detecting patterns improving behavior over time reducing the impact of future issues How to apply Antifragility in .N