{"id":8,"date":"2026-07-01T07:06:00","date_gmt":"2026-07-01T07:06:00","guid":{"rendered":"https:\/\/blog.levadny.com\/?p=8"},"modified":"2026-07-01T07:14:22","modified_gmt":"2026-07-01T07:14:22","slug":"why-isnt-a-neural-network-a-good-solution-for-code-and-algorithm-analysis","status":"publish","type":"post","link":"https:\/\/blog.levadny.com\/?p=8","title":{"rendered":"Why isn’t a neural network a good solution for code and algorithm analysis?"},"content":{"rendered":"\n

Russian version below.<\/p>\n\n\n\n

Modern neural networks aren’t about intelligence and innovation, but about finding matches from existing knowledge. Using them to generate new algorithms that the world doesn’t yet know about isn’t a good idea. In any case, it would be a compilation of existing versions, and there are, of course, no guarantees that these algorithms will work.<\/p>\n\n\n\n

A neural network as a coding assistant is a great idea for typical, routine tasks: writing a large number of getters and setters, writing numerous obvious unit tests, and formatting code according to requirements. I can’t say I often use them for such tasks, but it does happen sometimes.<\/p>\n\n\n\n

However, using neural networks to find errors in algorithms is a pretty bad idea, and here’s why. If the algorithms are new, developed for a highly specialized task and have no analogues, then you risk leaking your code and intellectual property. Ultimately, all of this will likely be available to all users, and the neural network itself is unlikely to help you achieve acceptable results. There have been plenty of examples of this in the news in recent years. If the algorithms are classical, a neural network can certainly find and fix an error, but what value will it have? Based on the experience of students, I can confidently conclude that the constant use of neural networks for developing and finding bugs in classical algorithms significantly reduces cognitive abilities: finding bugs, maintaining legacy code, and writing your own algorithms becomes increasingly difficult.<\/p>\n\n\n\n

The basic rules should be as follows.<\/p>\n\n\n\n

    \n
  1. No neural networks for analyzing new algorithms or new unique code.<\/li>\n\n\n\n
  2. No neural networks for programming that compromises your abilities: use them only for routine operations and information retrieval.<\/li>\n\n\n\n
  3. Trust, but verify.<\/li>\n<\/ol>\n\n\n\n

    And Russian version.<\/p>\n\n\n\n

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    \u041d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u044c, \u043a\u0430\u043a \u043f\u043e\u043c\u043e\u0449\u043d\u0438\u043a \u0432 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u0438 \u043a\u043e\u0434\u0430 – \u043e\u0442\u043b\u0438\u0447\u043d\u0430\u044f \u0438\u0434\u0435\u044f \u0434\u043b\u044f \u0442\u0438\u043f\u043e\u0432\u044b\u0445, \u0440\u0443\u0442\u0438\u043d\u043d\u044b\u0445 \u0437\u0430\u0434\u0430\u0447: \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0433\u0435\u0442\u0442\u0435\u0440\u043e\u0432 \u0438 \u0441\u0435\u0442\u0442\u0435\u0440\u043e\u0432, \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u043c\u043d\u043e\u0433\u043e \u043e\u0447\u0435\u0432\u0438\u0434\u043d\u044b\u0445 \u044e\u043d\u0438\u0442-\u0442\u0435\u0441\u0442\u043e\u0432, \u043e\u0442\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043a\u043e\u0434 \u0432 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u0438 \u0441 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f\u043c\u0438. \u041d\u0435 \u043c\u043e\u0433\u0443 \u0441\u043a\u0430\u0437\u0430\u0442\u044c, \u0447\u0442\u043e \u044f \u0447\u0430\u0441\u0442\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e \u0438\u0445 \u0434\u043b\u044f \u0442\u0430\u043a\u0438\u0445 \u0437\u0430\u0434\u0430\u0447, \u043d\u043e \u0438\u043d\u043e\u0433\u0434\u0430 \u0431\u044b\u0432\u0430\u0435\u0442.<\/p>\n\n\n\n

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      \n
    1. \u041d\u0438\u043a\u0430\u043a\u0438\u0445 \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0435\u0439 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u043d\u043e\u0432\u044b\u0445 \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u043e\u0432 \u0438 \u043d\u043e\u0432\u043e\u0433\u043e \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043a\u043e\u0434\u0430.<\/li>\n\n\n\n
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      <\/p>\n","protected":false},"excerpt":{"rendered":"

      Russian version below. Modern neural networks aren’t about intelligence and innovation, but about finding matches from existing knowledge. Using them to generate new algorithms that the world doesn’t yet know about isn’t a good idea. In any case, it would be a compilation of existing versions, and there are, of course, no guarantees that these […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blog.levadny.com\/index.php?rest_route=\/wp\/v2\/posts\/8","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.levadny.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.levadny.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.levadny.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.levadny.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8"}],"version-history":[{"count":3,"href":"https:\/\/blog.levadny.com\/index.php?rest_route=\/wp\/v2\/posts\/8\/revisions"}],"predecessor-version":[{"id":12,"href":"https:\/\/blog.levadny.com\/index.php?rest_route=\/wp\/v2\/posts\/8\/revisions\/12"}],"wp:attachment":[{"href":"https:\/\/blog.levadny.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.levadny.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.levadny.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}