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Enterprise users now enjoy enhanced admin controls and access to Claude Code, a coding assistant integrated with premium seats for seamless ideation and implementation.
Anthropic has announced new features for their enterprise and team plans, including the integration of Claude Code with premium seats. This update brings a powerful coding agent into the mix, allowing users to move seamlessly between ideation and implementation. Additionally, admins now have more visibility and control over how Claude is used across their organization.
Claude Code Integration
Admin Controls
Compliance API
For developers, the integration of Claude Code means they can leverage a powerful coding assistant throughout their development lifecycle. Here’s how it works:
Behavox Artem Pikulin, Senior Manager of Machine Learning Operations at Behavox, shares:
“Since bundling Claude for Enterprise with Claude Code, we’ve rolled it out to hundreds of developers, and it has quickly become our go-to pair programmer. Its coding assistance consistently outperforms other agents, delivering superior results and value every day.”

Altana Peter Swartz, Co-founder and Chief Science Officer at Altana, an AI-powered Product Network connecting the global supply chain, adds:
“Claude Code and Claude have accelerated Altana's development velocity by 2-10x, transforming how we build sophisticated AI/ML systems that facilitate multi-party collaboration on large-scale knowledge graphs of global supply chains. We're taking on significantly more ambitious projects as a result.”
Anthropic’s approach to pricing ensures flexibility and predictability:
To support productive collaboration while maintaining control:
Anthropic’s latest updates to Claude Code and admin controls offer enterprise users a powerful, flexible, and manageable solution for accelerating development. By integrating Claude Code into premium seats and providing robust admin tools, Anthropics is empowering organizations to scale their use of AI-assisted development while maintaining control over costs and compliance.
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About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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21 August 2025
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