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When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite-state machine is often generated instead of a deterministic one, because usually the former can be created more ...
Yeoman is an open source client-side scaffolding tool for web applications.Yeoman runs as a command-line interface written for Node.js and combines several functions into one place, such as generating a starter template, managing dependencies, running unit tests, providing a local development server, and optimizing production code for deployment.
A prompt is natural language text describing the task that an AI should perform. [3] Prompt engineering may involve phrasing a query, specifying a style, [4] choice of words and grammar, [5] providing relevant context, [6] or assigning a role to the AI such as "act as a native French speaker". [7]
Static site generators (SSGs) are software engines that use text input files (such as Markdown, reStructuredText, AsciiDoc and JSON) to generate static web pages. [1] Static sites generated by static site generators do not require a backend after site generation, making them first-class citizens on content delivery networks (CDNs).
The introduction of JavaScript (then known as LiveScript) enabled the production of client-side dynamic web pages, with JavaScript code executed in the client's browser. [4] The letter "J" in the term AJAX originally indicated the use of JavaScript, as well as XML.
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In computer science, a generator is a routine that can be used to control the iteration behaviour of a loop. All generators are also iterators. [1] A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values.