Anthropic announced a potentially game-changing new feature for users of Claude Code on the Claude Team and Enterprise subscription plans: Artifacts.
This update turns a Claude Code session’s work into a live, interactive, and shareable, custom HTML webpage, allowing a Claude Code user to plug in live code, multiple data sources, and have it surface on an interactive URL that they can send to other teammates — be it a dashboard, an app design, or some other product meant for internal usage.
These teammates and the original user can watch the webpage it update in real-time as Claude Code goes about its work autonomously or under the user’s guidance, and as the connected data sources and codebases change.
While Anthropic first introduced Artifacts to its consumer web chatbot in the summer of 2024—where it evolved from a manual toggle feature to a generally available tool for publishing code snippets and games to the web—integrating this capability directly into the Claude Code command-line interface (CLI) and desktop app bridges the gap between deep, back-end engineering and the non-technical stakeholders who need to understand it.
Product and Technology: The End of the Status Update
At its core, Claude Code Artifacts acts as a dynamic translation layer. Built directly from the unbroken context of a user’s session, the agent uses the local repository codebase, connected monitoring tools, and conversational reasoning to spin up specialized web pages.
Engineers no longer need to wire up external data sources or stand up temporary infrastructure; the AI builds the UI from what already exists.
Crucially, these web pages are not static exports. As the AI works through a terminal session, the open webpage refreshes in-place, updating charts and text instantly at the exact same URL. Every update publishes a new version history, allowing teammates to roll back or track the agent’s progress securely on desktop or mobile.
The Battle of Live, Interactive, Shared AI Work Surfaces: Anthropic’s Claude Code Artifacts vs. OpenAI’s Codex Sites
Anthropic’s update comes more than two weeks after OpenAI released a massive update to its own Codex platform, introducing a strikingly similar enterprise hosting feature called “Sites”.
This tit-for-tat product cadence highlights a rapidly escalating battle over the enterprise workspace across functions and beyond developers themselves, though there are some important technical and philosophical distinctions worth pointing out for enterprises considering either.
As revealed in their respective developer documentation webpages, OpenAI is building a platform-as-a-service; Anthropic is building a stateless canvas.
OpenAI’s Sites is designed to generate durable, full-stack web applications. According to the platform’s documentation, Codex Sites hosts projects that output as Cloudflare Worker-compatible ES modules.
Crucially, Sites supports persistent backend infrastructure: agents can automatically wire up “D1” relational databases for structured data (like user progress or saved records) and “R2” object storage for file uploads. An OpenAI Site can support public sign-ins, integrate with external identity providers, and allows for highly specific access controls tailored to specific workspace groups.
It utilizes a two-stage publishing process—saving a reviewable candidate linked to a Git commit before officially deploying to production. In short, it is a production environment designed to replace functional internal SaaS tools.
Anthropic’s Claude Code Artifacts, by contrast, deliberately avoids the backend. The newly released documentation is blunt about its limitations: “An artifact is a capture of work, not an application”.
Each Artifact is a single, self-contained HTML page capped at a rendered size of 16 MiB. To guarantee organizational security, Claude wraps the published file in a strict Content Security Policy (CSP) that blocks all external network requests. T
his means the page cannot load external scripts, fonts, or stylesheets, and fetch, XHR, and WebSocket calls are completely blocked. All CSS and JavaScript must be inlined, and images must be embedded as data URIs. Artifacts cannot store form input, call an API at view time, or serve multiple routes.
This technical limitation is actually Anthropic’s deliberate philosophical position: While OpenAI wants to spin up persistent software portals for the whole company, Anthropic is keeping Claude Code firmly anchored in ephemeral, highly secure technical workflows. Claude Artifacts are not meant to be software; they are meant to replace whiteboard diagrams, manual bug walkthroughs, and status reports with secure, self-updating visual tools that never leak live data outside the corporate boundary.
Licensing and Enterprise Security: Keeping the Codebase Private
Because these agents sit at the nexus of proprietary company data and live codebases, licensing and access controls are a primary concern.
Both Anthropic and OpenAI have opted for closed, proprietary licensing models for these new visual workspaces. For end users and developers, the distinction is critical. Unlike permissive open-source software (such as MIT or Apache 2.0) or strict copyleft licenses (like GPL)—which grant developers the legal freedom to inspect, modify, and self-host the underlying code—neither Claude Code Artifacts nor Codex Sites can be independently forked or hosted.
Enterprise clients do not maintain code-level ownership over Anthropic’s rendering engine or Codex’s integration nodes; both operate strictly within their respective creators’ managed infrastructures.
To make this vendor-managed approach palatable to enterprise compliance teams, both companies have heavily prioritized organizational security. Anthropic ensures every artifact is private to its author by default and strictly cannot be made public to the broader internet. When an engineer chooses to share a link, it is viewable exclusively by authenticated members of their specific organization. System administrators retain ultimate authority, managing access through org-level toggles, role-based scoping, and explicit retention policies, while maintaining oversight through a centralized compliance API.
OpenAI takes a similarly gated approach with Codex Sites, rolling the feature out primarily for ChatGPT Business and Enterprise workspaces. Like Anthropic, OpenAI relies on system administrators to manage deployment through centralized workspace settings, requiring an admin to explicitly enable Sites via role-based access control (RBAC) for Enterprise tiers.
However, because Codex Sites functions more like a hosted web application, its access controls are slightly more granular. When an engineer prepares to share a deployed URL, they can apply specific access modes: restricting the site to just themselves and workspace admins, opening it to all active users in the workspace, or limiting access to custom user groups.
Furthermore, to prevent sensitive data leaks, OpenAI provides a dedicated Sites panel to manage runtime environment variables and secrets securely, ensuring those keys do not have to be committed to local source files.
Reactions and Reflections
The introduction of visual, self-updating UI layers to command-line agents is fundamentally altering how developers view their own workflows. As AI handles the raw syntax and automates the reporting, the friction of communicating technical work to stakeholders is vanishing.
Boris Cherny, the Lead and creator of Claude Code, highlighted the sheer utility of the update in a post on X earlier today:
“I’ve been using Artifacts in Claude Code for everything: visual explanations of tricky code, system diagrams, quick previews of a few animation options, data analyses and dashboards I share with the team,” Cherny wrote. “They are a game changer for how I work with Claude. Can’t wait to hear what you think!”
This sentiment is practically demonstrated in Anthropic’s launch materials. In one scenario, an engineer prompts Claude Code to investigate user drop-offs since a previous software release.
In a matter of seconds, the agent executes an SQL read, builds an interactive drop-off funnel dashboard, and diagnoses that “Pro accounts stall at the export sheet”. The AI then proposes UI fixes, updates the live charts as the code is refactored, and generates a secure link that a manager can instantly open via mobile.
By turning the terminal into a live, collaborative canvas, Anthropic is proving that the most valuable output of an AI coding assistant isn’t just the code itself—it is the context, the reasoning, and the ability to share that work instantly.
