In the realm of software development, a generalized Turing Machine can be used to model problem-solving as a search for sequences of instructions or services that transform an initial context into a target one. By expanding the tape into multiple dimensions associated with specific properties and reader/writer heads, this machine can be seen as similar to a robot with getters and setters methods that have costs equivalent to energy spent to operate them. The machine's operations can be decomposed into sequences of basic getters and setters, each with an overall duration and cost. This concept is relevant in the context of microservices, where annotations with Cypher queries provide a set of inputs for services, automating documentation and reuse. A video recognition project illustrates how this concept can be applied to real-world problems, requiring the identification of parse tree generation microservices that can be combined into an abstract syntax tree code solution.