{"id":162898,"date":"2026-02-27T17:11:54","date_gmt":"2026-02-27T15:11:54","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/eksperimenty-s-ispolzovaniem-ai-dlya-uluchsheniya-koda-bind-9-i-pererabotki-next-js"},"modified":"2026-02-27T17:11:54","modified_gmt":"2026-02-27T15:11:54","slug":"eksperimenty-s-ispolzovaniem-ai-dlya-uluchsheniya-koda-bind-9-i-pererabotki-next-js","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/eksperimenty-s-ispolzovaniem-ai-dlya-uluchsheniya-koda-bind-9-i-pererabotki-next-js","title":{"rendered":"\u042d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u044b \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c AI \u0434\u043b\u044f \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u043a\u043e\u0434\u0430 BIND 9 \u0438 \u043f\u0435\u0440\u0435\u0440\u0430\u0431\u043e\u0442\u043a\u0438 Next.js","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Ond\u0159ej \u0160ur\u00fd, director of DNS engineering at ISC, who previously created the CZ.NIC Labs project that develops the Knot DNS server, summarized the experiments using large language models for analyzing, correcting, and modernizing the BIND 9 DNS server codebase, prototyping new projects, and preparing materials for student training. His impressions of using AI concluded that large language models are well-suited for quickly creating prototypes, understanding unfamiliar code, and automating simple routine tasks, but when used for larger tasks, it is questionable whether they save time, as a lot of time is spent on task formulation, studying, and verifying results, as well as subsequent refinement. <\/p>\n

In the first experiment, the AI assistant Claude Code was tasked with detecting 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 such as reserved identifiers and potential integer overflows were noted, which the compiler prevents and do not require fixes. The experiment was deemed a pointless 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 prototypes of the client and server<\/a>, but without a proper understanding of the environment and issues arising during testing. Additionally, Google Gemini and ChatGPT were involved for verification, and each AI model found errors in the outputs of the other models. <\/p>\n

The method proved suitable for quickly creating a prototype, but Ond\u0159ej noted that he felt like a robot overlord's secretary while working. Initially, the rapid prototyping inspired optimism, but in the end, there was a feeling that the entire development process using AI took more time than writing the code manually from scratch. A lot of time was spent dissecting the solution proposed by AI, checking for meaningless changes, and reworking\u2014 the prototype had to be redone as the code quality after AI input was mediocre and included a large number of repetitive constructs. <\/p>\n

Al treilea experiment a fost generarea unui balancer de \u00eenc\u0103rcare \u00een limbajul Rust, utiliz\u00e2nd pachetele crate Domain \u0219i Tokio. Claude Code a reu\u0219it s\u0103 genereze prototipul de lucru solicitat, dar Ond\u0159ej nu \u0219tie at\u00e2t de bine Rust \u0219i bibliotecile implicate pentru a evalua calitatea muncii realizate. <\/p>\n

The fourth experiment involved preparing supplemental materials, tests, and questions for the lecture course that Ond\u0159ej teaches at the university using Google Gemini. This experiment was recognized as the most successful, although it was not without issues\u2014 AI invented a non-existent Czech word for a term in cryptography. It was also noted that he received an abundance of student works generated by large language models, which had to be sent back for revision due to not meeting university-level standards and citations from incorrect sources. <\/p>\n

\u00cen plus, se poate men\u021biona un alt experiment realizat de directorul de inginerie al companiei Cloudflare. Cu ajutorul modelului Claude Code, dup\u0103 aproximativ o s\u0103pt\u0103m\u00e2n\u0103 \u0219i 1100 de dolari cheltui\u021bi pe token-uri, a fost posibil\u0103 preg\u0103tirea unei implement\u0103ri alternative a API-ului pentru cadrul Next.js, sub forma unui plugin pentru instrumentul Vite. Proiectul a fost denumit vinext \u0219i publicat pe GitHub. Noua implementare este de patru ori mai rapid\u0103 dec\u00e2t compilarea Next.js folosind Turbopack \u0219i creeaz\u0103 pachete pentru front-end-uri care ocup\u0103 cu 57% mai pu\u021bin spa\u021biu. <\/p>\n

Proiectul implementeaz\u0103 94% din cele \u0219aisprece API-uri de baz\u0103 Next.js \u0219i poate fi utilizat ca o \u00eenlocuire transparent\u0103 pentru Next.js, precum \u0219i pentru desf\u0103\u0219urarea proiectelor pe platforma Cloudflare Workers f\u0103r\u0103 a necesita straturi suplimentare, cum ar fi OpenNext, \u0219i f\u0103r\u0103 leg\u0103tura cu Node.js. Scopul cheie al vinext este de a oferi posibilitatea utiliz\u0103rii API-urilor Next.js pe platforme diferite de Vercel, f\u0103r\u0103 a desf\u0103\u0219ura un server propriu. \u00cen forma actual\u0103, este suportat doar Cloudflare Workers \u0219i exist\u0103 un prototip pentru Vercel, dar \u00een viitor se a\u0219teapt\u0103 suport \u0219i pentru alte platforme de calcul f\u0103r\u0103 server, cu care poate func\u021biona Vite, inclusiv Netlify \u0219i AWS Lambda.
\n
Sursa: opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\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, 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[…]<\/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\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\udd47Experimente cu utilizarea AI pentru \u00eembun\u0103t\u0103\u021birea codului BIND 9 \u0219i refacerea Next.js | ProHoster","description":"Ond\u0159ej Sur\u00fd, directorul de inginerie DNS \u00een organiza\u021bia ISC, care a creat anterior proiectul CZ.NIC Labs, care dezvolt\u0103 serverul DNS Knot, a rezumat experimentele utiliz\u00e2nd modele de limbaj mari 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