This article originally appeared on Engadget at https://www.engadget.com/ai/trump-orders-federal-agencies-to-drop-anthropic-services-amid-pentagon-feud-222029306.html?src=rss
If this kind of work excites you, we’re hiring for engineers who enjoy solving these kinds of database internals problems.
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/。新收录的资料对此有专业解读
Why can’t you tune your guitar?，这一点在新收录的资料中也有详细论述
- "not recklessly, not completely, but enough"
发布会一开始，余承东就非常骄傲地聊起了问界旗舰车型 M9 的市场表现。。新收录的资料对此有专业解读