Ond\u0159ej Sur\u00fd, a DNS engineering director at ISC who previously created the CZ.NIC Labs project and developed the Knot DNS server, summarized the experiments on using large language models for analyzing, correcting, and modernizing the BIND 9 DNS server codebase, prototyping new projects, and preparing educational materials for students. His experiences with AI led to the conclusion that large language models are suitable for rapid prototyping, understanding unfamiliar code, and automating simple routine tasks. However, when it comes to solving larger problems, it's questionable whether they save time, as significant effort is spent on task definition, studying, and verifying results, as well as subsequent refinements. <\/p>\n
In the first experiment, the AI assistant Claude Code was tasked with identifying issues in the BIND 9 DNS server codebase, focusing on security problems and code modernization. None of the proposed fixes were accepted into the codebase, as Claude generated technically correct but practically useless code. For example, issues noted included reserved identifiers and potential integer overflows, which are prevented by the compiler and do not require fixing. The experiment was deemed a waste of time. <\/p>\n
In the second experiment, Ond\u0159ej asked Claude to write a telemetry system that integrates with various packages and minimizes metadata leaks. Claude Code prepared client prototypes and a szerver<\/a>, but without a proper understanding of the environment and the issues arising during testing. Additionally, Google Gemini and ChatGPT were involved for verification, and each AI model identified errors in the results produced by the other models. <\/p>\n The method proved useful for rapid prototyping, but Ond\u0159ej felt like a robot overlord's secretary during the process. Initially, the quick prototype delivery was encouraging, but in the end, it seemed that the entire development process with AI took more time than writing code manually from scratch. Much time was spent on deciphering the solution proposed by AI, checking for senseless changes, and reworking it \u2014 the prototype had to be redone, as the quality of code generated by AI was mediocre and included numerous repetitive constructs. <\/p>\n A harmadik k\u00eds\u00e9rlet a Rust nyelv\u0171 terhel\u00e9seloszt\u00f3 gener\u00e1l\u00e1sa volt a Domain \u00e9s Tokio crate-csomagok haszn\u00e1lat\u00e1val. A Claude Code sikeresen gener\u00e1lta a megk\u00e9rt m\u0171k\u00f6d\u0151 protot\u00edpust, de Ond\u0159ej nem ismeri annyira j\u00f3l a Rust-ot \u00e9s a kapcsol\u00f3d\u00f3 k\u00f6nyvt\u00e1rakat, hogy \u00e9rt\u00e9kelni tudja az elv\u00e9gzett munka min\u0151s\u00e9g\u00e9t. <\/p>\n The fourth experiment involved preparing support materials, tests, and questions for the course lectures that Ond\u0159ej teaches at the university using Google Gemini. This experiment was deemed the most successful, although there were problems \u2014 AI invented a non-existent Czech word for a term in cryptography. It was also noted that he received a plethora of student papers generated by large language models, which had to be returned for revisions due to their inconsistency with university standards and references to incorrect sources. <\/p>\n Tov\u00e1bb\u00e1 eml\u00edt\u00e9sre m\u00e9lt\u00f3 egy m\u00e1sik k\u00eds\u00e9rlet, amelyet a Cloudflare m\u00e9rn\u00f6ki igazgat\u00f3ja hajtott v\u00e9gre. A Claude Code modell haszn\u00e1lat\u00e1val, k\u00f6r\u00fclbel\u00fcl egy h\u00e9t \u00e9s 1100 doll\u00e1r token elk\u00f6lt\u00e9se ut\u00e1n siker\u00fclt egy alternat\u00edv implement\u00e1ci\u00f3t el\u0151k\u00e9sz\u00edteni a Next.js API keretrendszerhez, amely a Vite eszk\u00f6zk\u00e9szlet\u00e9hez k\u00e9sz\u00fclt plugin form\u00e1j\u00e1ban val\u00f3sult meg. A projekt elnevez\u00e9se vinext, \u00e9s publik\u00e1lva lett a GitHub-on. Az \u00faj implement\u00e1ci\u00f3 n\u00e9gyszer gyorsabb, mint a Next.js Turbopack haszn\u00e1lat\u00e1val v\u00e9gzett \u00f6ssze\u00e1ll\u00edt\u00e1sa, \u00e9s a frontendek sz\u00e1m\u00e1ra 57%-kal kevesebb helyet foglal. <\/p>\n A projekt a Next.js tizenhat alapvet\u0151 API-j\u00e1nak 94%-\u00e1t val\u00f3s\u00edtja meg, \u00e9s \u00e1tl\u00e1that\u00f3 helyettes\u00edt\u0151k\u00e9nt haszn\u00e1lhat\u00f3 a Next.js-hez, valamint a Cloudflare Workers platformon val\u00f3 projektek telep\u00edt\u00e9s\u00e9re tov\u00e1bbi r\u00e9tegek, mint p\u00e9ld\u00e1ul az OpenNext, alkalmaz\u00e1sa n\u00e9lk\u00fcl, \u00e9s an\u00e9lk\u00fcl, hogy Node.js-hez lenne k\u00f6tve. A vinext f\u0151 c\u00e9lja, hogy lehet\u0151v\u00e9 tegye a Next.js API haszn\u00e1lat\u00e1t olyan platformokon, amelyek k\u00fcl\u00f6nb\u00f6znek a Vercelt\u0151l, \u00e9s an\u00e9lk\u00fcl, hogy saj\u00e1t szervert kellene telep\u00edteni. Jelenlegi \u00e1llapot\u00e1ban csak a Cloudflare Workers-t t\u00e1mogatja, \u00e9s van protot\u00edpus a Vercel sz\u00e1m\u00e1ra, de a j\u00f6v\u0151ben v\u00e1rhat\u00f3an m\u00e1s szerver n\u00e9lk\u00fcli sz\u00e1m\u00edt\u00e1si platformok t\u00e1mogat\u00e1sa is megval\u00f3sul, amelyekkel a Vite egy\u00fcttm\u0171k\u00f6dik, bele\u00e9rtve a Netlify-t \u00e9s az AWS Lambda-t is. \u041e\u043d\u0434\u0440\u0436\u0435\u0439 C\u0443\u0440\u0438 (Ondřej Surý), \u0434\u0438\u0440\u0435\u043a\u0442\u043e\u0440 \u043f\u043e \u0438\u043d\u0436\u0438\u043d\u0438\u0440\u0438\u043d\u0433\u0443 DNS \u0432 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u0438 ISC, \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0441\u043e\u0437\u0434\u0430\u0432\u0448\u0438\u0439 \u043f\u0440\u043e\u0435\u043a\u0442 CZ.NIC Labs, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0438\u0439 DNS-\u0441\u0435\u0440\u0432\u0435\u0440 Knot, \u043f\u043e\u0434\u0432\u0451\u043b \u0438\u0442\u043e\u0433\u0438 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u043e\u0432 \u043f\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044e \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430, \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0438 \u043c\u043e\u0434\u0435\u0440\u043d\u0438\u0437\u0430\u0446\u0438\u0438 \u043a\u043e\u0434\u043e\u0432\u043e\u0439 \u0431\u0430\u0437\u044b DNS-\u0441\u0435\u0440\u0432\u0435\u0440\u0430 BIND 9, \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u043e\u0432 \u043d\u043e\u0432\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0438 \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u043e\u0432 \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432. \u0412\u043f\u0435\u0447\u0430\u0442\u043b\u0435\u043d\u0438\u044f \u043e\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f AI \u0441\u0432\u0435\u043b\u0438\u0441\u044c \u043a \u0442\u043e\u043c\u0443, […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-162898","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47K\u00eds\u00e9rletek az AI haszn\u00e1lat\u00e1val a BIND 9 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Forr\u00e1s: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"