Context engineering is the concept everyone's learning right now. The upstream problem is harder -you can't structure what was never captured. Architectural decisions in someone's head. Design reasoning that resets every session. The teams that execute on this built their knowledge layer before context engineering had a name. Framework and resources including Claude skill files are at prodblueprint.dev.

Context engineering has been trending for a few weeks, but most of the posts skip talking about the actual hard part. The concept is easy to understand. You fill the context window with the right information and the agent performs better. Gardener predicts that it will be an 80% of AI tooling in the next couple of years. A lot of the guides talk about how to structure what goes in. What's missing though is where does that material come from. You can't engineer what no one has captured. If architectural decisions never got written down or if design reasoning lives in someone's head, then agents are using guesswork dressed up as structure. The teams that execute on this aren't just the ones reading about it. They're the ones that are building the knowledge layer. They're documenting decisions as they're made and they're encoding their reasoning, not just the outcomes. So that's the upstream work. Context engineering sits on top of this. My production blueprint includes some resources to help with this, including some clawed skills. There's a link in my bio.