Delégua is a complete multi-dialect programming language implementation written in TypeScript, aimed at Portuguese-speaking learners and hobbyists. The repository contains the full language toolchain: lexers, recursive-descent parsers, tree-walking interpreters, a semantic analyzer, a code formatter, a rule-based stylizer/linter, debugger support, and translators to JavaScript, Python, Ruby, Elixir, AssemblyScript, MermaidJS, and back from Python and JavaScript. Instead of a single monolithic parser, the project implements a family of Portuguese-language dialects — Delégua, Pituguês, Égua Clássico, Calango, Portugol IPT, Tenda, Prisma, and Guarani — sharing a common AST, visitor interfaces, scope-stack model, and standard-library primitives. The main entry point is the npm package `@designliquido/delegua`, which powers a CLI, VSCode extension, and web editors. Source text flows through lexer → parser → AST → interpreter/translator/stylizer, with dialect-specific overrides at each layer. The architecture is genuinely well-layered: AST nodes implement the visitor pattern, interfaces in `fontes/interfaces` decouple subsystems, and each dialect extends shared base classes for lexing, parsing, and interpretation. The most notable subsystems are the base interpreter with its scope-stack/heap memory model, the Pituguês semantic analyzer with type inference and compile-time diagnostics, the ANTLR-based Python reverse translator, and the debugger implementation with breakpoints and step commands. The project has a large Jest test suite, CI workflows, CodeQL scanning, and dependabot configuration, indicating professional-level process. The codebase is not without significant debt. Multiple dialects duplicate standard-library primitives with small spelling variations, several visitor methods explicitly throw 'not implemented', translators have documented limitations, and the code relies heavily on `any` casts and copy-pasted validation logic. Some dialect modules appear unfinished or exploratory. This is best described as an ambitious, actively developed educational language project rather than a hardened production runtime; the core design is strong, but breadth and dialect churn create real maintenance risk. There is no data-processing or research component; this is purely an application/compiler project.