Anthropic zooms ahead in AI coding
- Anthropic’s Claude Code has put AI coding at the center of the enterprise software race, as Microsoft, Google and OpenAI push new competing products. - OpenAI said on June 2 that Codex now has more than 5 million weekly users, with non-developers making up about 20%. - GitHub put Copilot cloud and local sandboxes into public preview on June 2, while OpenAI added new Codex workplace plugins.
Anthropic’s rise in AI coding has turned a once-narrow developer tool category into one of the clearest fights in enterprise software. CNBC reported on June 1 that Anthropic had “zoomed ahead” in the market, helped by Claude Code, as Microsoft and Google moved to catch up and OpenAI widened Codex beyond software engineering. Claude Code’s pitch is not autocomplete. Anthropic describes it as an “agentic coding system” that can read a codebase, make changes across files, run tests and deliver committed code, while its enterprise version says teams can deploy it securely, manage it centrally and measure it clearly. ### Why has coding become the most contested AI workflow? (cnbc.com) Coding is one of the few AI use cases where buyers can tie spending to a recurring, expensive workflow. CNBC reported that coding tools have become a major target for Google and Microsoft as they try to catch Anthropic and OpenAI in a fast-growing market. (anthropic.com) Anthropic’s broader business numbers help explain the attention. CNBC reported on May 28 that Anthropic’s revenue had surged on the back of Claude Code and that the company had reached a $47 billion revenue run rate. Reuters separately reported on June 1 that Anthropic had confidentially filed for a U.S. IPO, putting more focus on the durability of its enterprise business. (cnbc.com) ### What are OpenAI, Microsoft and Google doing in response? OpenAI used June 2 to push Codex beyond engineering. The company said Codex now has more than 5 million weekly users and that non-developers, including analysts, marketers, operators, researchers, investors and bankers, account for about 20% of users and are growing more than three times as fast as developers. OpenAI also introduced plugins, annotations and a preview tool for building shareable websites and apps. (cnbc.com) Bloomberg reported on June 2 that OpenAI plans to add more Codex features for legal and corporate finance and to integrate Codex into ChatGPT. That lines up with reports that OpenAI is trying to broaden its enterprise position rather than compete only inside software development. (openai.com) Microsoft’s response is increasingly tied to GitHub Copilot. GitHub said on June 2 that cloud and local sandboxes for Copilot had entered public preview, adding “identity, governance, and policy controls” for agent execution. CNBC reported that Microsoft and Google were late to AI coding, but said competing there was critical for growth. (bloomberg.com) ### Why do sandboxes and controls matter so much here? Cloudflare and Anthropic announced on May 19 a secure sandbox product for Claude Managed Agents, saying it would give developers a scalable foundation for autonomous AI. Anthropic also said recently that managed agents can run in self-hosted sandboxes or with providers including Cloudflare, Daytona, Modal and Vercel. (github.blog) GitHub made a similar point in its June 2 announcement. The company said secure execution environments are becoming “foundational infrastructure” as AI agents take on a larger role in the software development lifecycle. ### What does Anthropic’s lead actually change? Anthropic’s lead has helped define the market around coding agents rather than general chatbots. (cloudflare.com) Claude Code and Codex are now being sold less as writing aids and more as systems that can take actions inside repositories, tools and enterprise environments. The next phase is already visible in product releases. (github.blog) OpenAI is adding role-specific plugins for finance, banking and sales, with legal and corporate finance next, while GitHub is shipping more controlled execution for Copilot and Anthropic is building around managed agents and enterprise controls. The competition is no longer just about model quality; it is about who can attach AI agents to high-value work inside companies. (anthropic.com) (openai.com)