Editorial illustration for Anthropic's Claude Code now writes most code; Claude Cowork set for enterprise
AI Writes 90% of Claude's Code: Anthropic's Big Leap
Anthropic's Claude Code now writes most code; Claude Cowork set for enterprise
Anthropic’s latest rollout has put the spotlight on how far AI‑generated software has traveled since its first public demo. Earlier this year the company unveiled Claude Code, a model that quickly moved from handling isolated snippets to producing whole programs. For developers watching the shift, the numbers are striking: in some cases the system writes up to 100 % of a project’s code, collapsing timelines that used to stretch across quarters into a matter of weeks.
That acceleration has caught the attention of enterprise leaders, who are now weighing whether a single‑purpose tool can handle the breadth of their internal workflows. The conversation deepens when you consider Anthropic’s broader strategy, which now includes Claude Cowork—a platform aimed at extending AI assistance beyond pure development into wider business processes. Understanding how the company’s internal framework, dubbed MCP or “the Mod,” fits into this picture is key to grasping whether the hype translates into lasting change.
The trajectory began with Claude Code, which Jensen noted had taken coding use cases “from assisting on tiny tasks to AI writing 90 or sometimes even 100% of the code, with enterprises shipping in weeks what once took many quarters.” But the deeper structural shift was the adoption of MCP -- the Mod.
The trajectory began with Claude Code, which Jensen noted had taken coding use cases "from assisting on tiny tasks to AI writing 90 or sometimes even 100% of the code, with enterprises shipping in weeks what once took many quarters." But the deeper structural shift was the adoption of MCP -- the Model Context Protocol -- which has become the connective tissue allowing Claude to reach into and act upon data across an organization's entire technology stack. Where previous AI tools were constrained to the information users manually fed them, MCP-connected Claude can pull context from Slack threads, Google Drive documents, CRM records, and financial systems simultaneously. This is what makes the plugin architecture announced Tuesday fundamentally different from earlier chatbot-style enterprise AI: it turns Claude into a reasoning layer that sits across an organization's existing infrastructure rather than alongside it. The implications for the broader AI industry are profound.
Did Anthropic finally cracked the enterprise AI agent problem? Kate Jensen argued that the 2025 hype was largely premature, with pilots stumbling before production. She blamed the approach, not the effort, and said customers echoed that view.
Claude Code, she noted, has already moved from assisting on tiny tasks to generating ninety to one hundred percent of code, letting companies ship weeks‑long projects that previously took quarters. The claim is that this leap came from adopting MCP, a deeper structural shift whose specifics remain vague. The claim is bold.
Now Anthropic is positioning Claude Cowork as the next step for broader enterprise use. Whether the new agent can avoid the pitfalls of earlier pilots it's still unclear. The company’s messaging suggests confidence in a revised methodology, but external validation is limited to the brief remarks at the virtual briefing.
Observers will watch for concrete deployment metrics before judging if Claude Cowork truly changes the enterprise AI narrative.
Further Reading
- Anthropic’s Claude Code Security rollout is an industry wakeup call - CSO Online
- Anthropic's New AI Model Targets Coding, Enterprise Work - Campus Technology
- Claude Code Security and the Future of AI-Driven Cybersecurity - BISI
- Making frontier cybersecurity capabilities available to defenders - Anthropic
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Common Questions Answered
How much code is Claude now generating at Anthropic?
According to the article, Claude is now generating nearly 100% of the code at Anthropic, with engineers shipping pull requests containing 2,000 to 3,000 lines fully generated by Claude. [medium.com](https://medium.com/@manojreddy_83742/i-built-an-mcp-server-so-claude-writes-code-like-my-team-not-like-a-tutorial-4d7adfc21587) reports that some engineers, like Boris Cherny, have not manually touched code for over two months.
What is the Model Context Protocol (MCP) and how does it improve AI code generation?
The MCP is a system that allows Claude to access and understand an organization's entire technology stack, enabling more contextually accurate code generation. [medium.com](https://medium.com/@manojreddy_83742/i-built-an-mcp-server-so-claude-writes-code-like-my-team-not-like-a-tutorial-4d7adfc21587) describes it as a way to index repositories at the function level, detect design patterns, and provide metadata filtering to generate code that matches a team's specific coding standards.
What productivity improvements has Anthropic seen with AI-generated code?
Internal data shows a 50% increase in productivity and 2-3x faster work compared to traditional coding methods. [twinstrata.com](https://www.twinstrata.com/news/claude-writes-code-at-anthropic/) notes that Claude Code can now run 20 independent actions per task, which is double the number from six months ago, significantly accelerating software development processes.