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Anthropic's Claude AI is now driving 26% of the company's research and development, up from nearly zero at the start of the year. The finding demonstrates that AI systems can meaningfully accelerate their own development, with Claude collaborating on roughly 90% of employee work.
- Claude leads 26% of Anthropic's R&D work, a dramatic jump from essentially nothing nine months earlier
- Claude collaborates with human staff on about 90% of their work, suggesting deep integration rather than replacement
- The metric provides concrete evidence that AI can speed up its own development cycle
Paper2Agent is a system that automatically transforms research papers into functional AI agents by extracting code and methods into MCP servers. You can use it through a skill in Claude Code or Codex to convert any paper's codebase into interactive tools.
- The system coordinates parallel specialist agents to extract scientific papers into reliable MCP servers with minimal manual setup
- You install the skill, point it at a paper URL and code repository, and it generates tested MCP tools ready to connect to your coding agent
- Three working examples (AlphaGenome, TISSUE, Scanpy) show agents handling genomic analysis, spatial transcriptomics, and single-cell preprocessing tasks with specific scientific queries