Two days, built for engineers.

Understanding at machine speed with thousands of contextual tools

Tudor Girba

As AI accelerates code generation, it becomes impossible to ignore the real bottleneck in software development: making sense of systems. In truth, this has always been the largest cost. Code reading never really worked as a scalable solution because it is the most manual way to extract information from a system. Today, that limitation is even sharper: systems are too large, and AI produces code too fast. Reading does not scale, and we should stop relying on it as the primary means of informing ourselves about our systems. Instead, we should augment human cognition with deterministic, contextual tools built for each problem. These tools that compress the system around the question at hand and help both humans and AI explore and reason faster. We call this Moldable Development. It enables teams to see their systems clearly and answer system questions quickly. These contextual tools do not help only people: they also help AI agents make sense of systems. Spread throughout the system, they become contextual skills and form an extensible kind of agent memory. What exactly is a contextual tool? Come to the talk to see live examples built with Glamorous Toolkit, the free and open-source environment that helps you understand and steer systems through thousands of contextual tools.