Inside Anthropic Labs

2026-06-02 · Source: The Business Engineer · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Expert, quick

Summary

Anthropic Labs operates on a unique product development philosophy: "Don't build for today's model. Build the model in six months." This approach, articulated by co-founder Ben Mann, guided Boris Cherny's development of Claude Code. Initially, the tool was barely usable, accounting for only 10% of his coding by late 2024. However, following the May 2025 release of Opus 4, its utility rapidly increased, enabling Cherny to produce up to 150 pull requests per day by early 2026. The five-person Labs team, responsible for Claude Code, MCP, Skills, and the Claude desktop app, was re-established as a permanent function in January 2026. Mike Krieger, Instagram co-founder and Anthropic's Chief Product Officer, transitioned to a Member of Technical Staff role within Labs, reporting directly to President Daniela Amodei, to build alongside Mann.

Key takeaway

For AI Product Managers or Directors of AI/ML developing frontier applications, you should adopt Anthropic's "build for the future model" doctrine. This means designing products for capabilities that don't yet exist, accepting initial low usability. Your teams can then rapidly iterate as new foundation models ship, potentially seeing exponential gains like Boris Cherny's 150 pull requests per day. Consider establishing a dedicated "Labs" function, even embedding senior leadership, to foster this forward-looking development.

Key insights

Anthropic's Labs team builds AI products for future model capabilities, accepting initial low utility for later exponential gains.

Principles

• Build for future AI model capabilities.
• Tolerate initial low product usability.
• Dedicate a "Labs" function for frontier work.

Method

Develop products against a projected future frontier model, accepting initial low utility. Iterate rapidly as new models ship, integrating senior leadership directly into the Labs function.

In practice

• Start with low utility, e.g., 10% code generation.
• Anticipate utility inflection post-model release.
• Embed senior product leadership in development.

Topics

• Anthropic
• AI Product Development
• Frontier AI
• Claude Code
• Product Strategy
• Organizational Design

Best for: CTO, VP of Engineering/Data, Machine Learning Engineer, AI Engineer, Director of AI/ML, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Business Engineer.