Posts connected by the context tag.
7 posts
People praise someone for having a 100% signal-to-noise ratio. Borrowed back from the field it came from, that is not a compliment, it is an impossible measurement. What SNR actually means, why the opposite of noise is information rather than signal, and what a headset with a microphone on it says about being a transmitter and a receiver at the same time.
Roughly 80% of the software I produce now starts as a prompt, not a keystroke. Mapped onto the Quest Engine, that means agents have moved into the Drive (the How) and are eating into the four W's. What is left for me is the Why, the context still trapped in people's heads, and the work of running a fleet of agents predictably.
Why is the directive and How is the action, which leaves out the entire middle. Who, What, When, and Where are the locating step: four separate questions, each with its own failure mode, that tell you where you are standing before you move. Splitting them out of the How is what makes the whole model work.
Six months of building AI infrastructure and coaching coworkers on their agent workflows taught me the bottleneck is no longer code creation. Someone can write ten thousand lines in a day, but nobody found a way to make a colleague understand those ten thousand lines any faster than in 2019. Validation is still the vehicle through which humans actually learn a system, and that work has not been automated.
Configuration earned its place next to code: versioned, reviewed, owned. The corpus of context that aligns a team (design docs, contextual documents, the why behind the system) deserves the same standard. It's the operating system humans run on, and now the grounding agents read to understand how we work.
Why the word 'hunting' matters: context doesn't just lie around waiting to be picked up. Real context requires active investigation, tracing code, chasing state transitions, and turning what you found into something the whole team can use.
Quest Engine is a methodology built on three recursive action steps that help you solve problems at any scale. Through Searching, Being Driven, and Renewing (you compound your capability continuously). AI coding agents amplify these natural processes as tools that multiply your leverage.