Computer Science = Applied Mathematical Modeling

I believe I've delved deeper today—I’m starting to grasp mathematical models! I understand why they are essential for computer science and AI models. Now, front-end, back-end, database management, and cybersecurity can all be represented by mathematical models. Consider how we tackle complex math problems; often, it's easier to break them into steps. Similarly, if we view front-end, back-end, database management, and cybersecurity as different variables, each variable represents a step leading to the solution, possibly with weighted values. This approach is key to developing an AI full-stack agent! When building an AI model, we should first identify the sections and variables involved. Mathematically, these are the variables that help solve a problem, akin to steps in problem-solving. For an AI full-stack agent, these variables represent different computer science areas, with each area depicted by a distinct mathematical model.