Context engineering is becoming essential as AI agents take on more software development work. An agent can plan, code, test, investigate incidents, trigger CI, and help deploy software. But none of that matters if it is operating without the right information.This is the main problem I keep seeing. We connect an LLM to a few tools, give it a good prompt, and expect magic. Then the agent has to figure out which service we mean, who owns it, what repository it belongs to, whether it is healthy, what incidents are open, and whether a deployment is safe. That is a lot of disconnected information to reconstruct every single time.