{"id":5390,"date":"2025-05-17T01:25:59","date_gmt":"2025-05-16T17:25:59","guid":{"rendered":"https:\/\/cicserver.com\/cisco-taps-openais-codex-for-ai-driven-network-coding\/"},"modified":"2025-05-17T01:25:59","modified_gmt":"2025-05-16T17:25:59","slug":"cisco-taps-openais-codex-for-ai-driven-network-coding","status":"publish","type":"post","link":"https:\/\/cicserver.com\/de\/cisco-taps-openais-codex-for-ai-driven-network-coding\/","title":{"rendered":"Cisco taps OpenAI&#8217;s Codex for AI-driven network coding"},"content":{"rendered":"<p><br \/>\n<br \/><img decoding=\"async\" src=\"https:\/\/www.networkworld.com\/wp-content\/uploads\/2025\/05\/3988176-0-95545200-1747415053-shutterstock_1503937775.jpg?quality=50&amp;strip=all\" \/><\/p>\n<div>\n<p>\u201cIf you want to ask Codex a question about your codebase, click \u201cAsk\u201d. Each task is processed independently in a separate, isolated environment preloaded with your codebase. Codex can read and edit files, as well as run commands including test harnesses, linters, and type checkers. Task completion typically takes between 1 and 30 minutes, depending on complexity, and you can monitor Codex\u2019s progress in real time,\u201d according to OpenAI.<\/p>\n<p>\u201cOnce Codex completes a task, it commits its changes in its environment. Codex provides verifiable evidence of its actions through citations of terminal logs and test outputs, allowing you to trace each step taken during task completion,\u201d OpenAI wrote. \u201cYou can then review the results, request further revisions, open a GitHub pull request, or directly integrate the changes into your local environment. In the product, you can configure the Codex environment to match your real development environment as closely as possible.\u201d<\/p>\n<p>OpenAI is releasing Codex as a research preview: \u201cWe prioritized security and transparency when designing Codex so users can verify its outputs \u2013 a safeguard that grows increasingly more important as AI models handle more complex coding tasks independently and safety considerations evolve. Users can check Codex\u2019s work through citations, terminal logs and test results,\u201d OpenAI wrote.\u00a0<\/p>\n<p>Internally, technical teams at OpenAI have started using Codex. \u201cIt is most often used by OpenAI engineers to offload repetitive, well-scoped tasks, like refactoring, renaming, and writing tests, that would otherwise break focus. It\u2019s equally useful for scaffolding new features, wiring components, fixing bugs, and drafting documentation,\u201d OpenAI stated.<\/p>\n<h3 class=\"wp-block-heading\" id=\"ciscos-view-of-agentic-ai\">Cisco\u2019s view of agentic AI<\/h3>\n<p>Patel stated that Codex is part of the developing AI agent world, where Cisco envisions billions of AI agents will work together to transform and redefine the architectural assumptions the industry has relied on. Agents will communicate within and across data centers, and across every place we live, work, and connect with customers\u2014 all at incredible speed, scale and efficiency, Patel said.<\/p>\n<p>Cisco\u2019s advanced research outfit Outshift <a href=\"https:\/\/www.networkworld.com\/article\/3812618\/cisco-touts-internet-of-agents-for-secure-ai-agent-collaboration.html\">recently proposed an Internet of Agents<\/a>, an open-sourced, three-layer architecture that would allow AI agents to collaborate autonomously and share complex reasoning, the vendor stated.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u201cIf you want to ask Codex a question about your codebase, click \u201cAsk\u201d. Each task is processed independently in a separate, isolated environment preloaded with your codebase. Codex can read and edit files, as well as run commands including test harnesses, linters, and type checkers. Task completion typically takes between 1 and 30 minutes, depending [&hellip;]<\/p>","protected":false},"author":3,"featured_media":5391,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-5390","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-blog"},"_links":{"self":[{"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/posts\/5390","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/comments?post=5390"}],"version-history":[{"count":0,"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/posts\/5390\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/media\/5391"}],"wp:attachment":[{"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/media?parent=5390"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/categories?post=5390"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cicserver.com\/de\/wp-json\/wp\/v2\/tags?post=5390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}