In mathematics and computer science, asymptotic expansions provide a fundamental framework for managing complexity and reasoning about underlying processes at an appropriate level of granularity. For example, the discrete quantity represented by the n-th harmonic number , H n , can be approximated as ln n + O(1). This approximation offers the intuitive insight that harmonic numbers grow logarithmically, while also indicating that the omitted terms remain bounded by a constant. When greater precision is required, additional terms may be introduced—for instance, Euler’s constant —yielding a refined expression of the form H n = ln n + γ + O(1/n). A similar analogy applies to AI-friendly publications, such as my study helper for An Introduction to the Analysis of Algorithms, Second Edition , by RS and PF. This type of document is built around expandable AI prompts, which function in a manner analogous to asymptotic expansions for quantities of interest. The initial prompt (a solution of...
Vibe coding is the latest technological breakthrough related to AI assisted software development. It truly changes how we think about the software engineering discipline. The crucial question is can we tame, control and regulate the underlying AI engines to do exactly what we want without a fear of dangerous side-effects? This blog tries to shed some light on available approaches, that ironically have always been part of industry best-practices: requirements engineering and API-centricity . To make the exposition concrete, I've developed an educational unit Vibe Coding Demo , purely generated via Google Antigravity ; the repository contains all the technical details of the project, together with useful external reading materials. The key point is that the core input was the product requirements document, all the rest just happened . Why API-Centricity? By starting with an API-centric paradigm, we are able to harness AI productivity while maintaining strict architectural and securit...