@rohanpaul_ai: Really interesting Boris Cherny and Cat Wu interview on the move from Claude Code to Claude Tag. Anthropic's launched C…

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Summary

Anthropic launched Claude Tag, a tool that adds persistent context and memory to AI interactions, shifting from individual to group workflows and enabling social learning across teams.

Really interesting Boris Cherny and Cat Wu interview on the move from Claude Code to Claude Tag. Anthropic's launched Claude Tag last week and it added a layer of persistent context and memory that would have been difficult to maintain with previous tools. - Claude Tag shows a bigger shift than faster coding inside Anthropic’s daily work. Claude Code helped one person work faster, but Claude Tag changes group behavior. - AI becomes more useful when it enters shared workspaces. - People no longer need to open a separate tool, frame a task, and monitor it. Claude can sit inside a channel, notice useful work, act, and report back. - That institutional memory turns AI from a helper into a workflow layer. A channel can teach Claude what to watch, what to ignore, and how to respond. That means the system improves through normal corrections, not separate training sessions. - Visibility spreads skill faster than private AI use. When stronger users show Claude how to debug, analyze data, or write PRs, others copy those patterns. - This turns AI adoption from individual experimentation into social learning across the company.
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Really interesting Boris Cherny and Cat Wu interview on the move from Claude Code to Claude Tag.

Anthropic’s launched Claude Tag last week and it added a layer of persistent context and memory that would have been difficult to maintain with previous tools.

  • Claude Tag shows a bigger shift than faster coding inside Anthropic’s daily work. Claude Code helped one person work faster, but Claude Tag changes group behavior.

  • AI becomes more useful when it enters shared workspaces.

  • People no longer need to open a separate tool, frame a task, and monitor it. Claude can sit inside a channel, notice useful work, act, and report back.

  • That institutional memory turns AI from a helper into a workflow layer. A channel can teach Claude what to watch, what to ignore, and how to respond.

That means the system improves through normal corrections, not separate training sessions.

  • Visibility spreads skill faster than private AI use. When stronger users show Claude how to debug, analyze data, or write PRs, others copy those patterns.

  • This turns AI adoption from individual experimentation into social learning across the company.

Claude (@claudeai): A conversation with Boris Cherny and Cat Wu on the path from Claude Code to Claude Tag, and how it spread from engineering to the rest of Anthropic.

Claude Fable 5 is now available in Claude Tag.

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