For those looking to add more legumes to their meals, as I am, this substantial one-dish meal—which culinary expert Edite Vieira calls "a wonderful staple in Portuguese cooking"—is worth remembering. While different areas have their own twists, she notes that "at its core, feijoada is a savory bean casserole with pork and sausages." The Brazilian take, frequently hailed as the nation's signature dish, stems from West African "bean appreciation," as noted in the Oxford Companion to Food, with some proposing it originated in South America and later reached Europe via colonizers. Conversely, many passionately argue that the dish "originated in northern Portugal and was brought to Brazil, where it was modified using local ingredients." As with many cherished comfort foods, its exact origins may always be unclear; the key points are that it's straightforward to make, flexible for personal preferences and budgets, and deeply fulfilling.
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What happens when you ask a 2026 coding agent like Claude Code to build a chess engine from scratch (with no plan, no architecture document, no step-by-step guidance) in a language that was never designed for this purpose? Building a chess engine is a non-trivial software engineering challenge: it involves board representation, move generation with dozens of special rules (castling, en passant, promotion), recursive tree search with pruning, evaluation heuristics, as well as a way to assess engine correctness and performance, including Elo rating. Doing it from scratch, with minimal human guidance, is a serious test of what coding agents can do today. Doing it in LaTeX’s macro language, which has no arrays, no functions with return values, no convenient local variables or stack frames, and no built-in support for complex data structures or algorithms? More than that, as far as I can tell, it has never been done before (I could not find any existing TeX chess engine on CTAN, GitHub, or TeX.SE). Yet, the coding agent built a functional chess engine in pure TeX that runs on pdflatex and reaches around 1280 Elo (the level of a casual tournament player). This post dives deep into how this engine, called TeXCCChess, works, the TeX-specific challenges encountered during development. You can play against it in Overleaf (see demo https://youtu.be/ngHMozcyfeY) or your local TeX installation https://youtu.be/Tg4r_bu0ANY, while the source code is available on GitHub https://github.com/acherm/agentic-chessengine-latex-TeXCCChess/，这一点在豆包下载中也有详细论述
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