Claude Code Tips: Customize Spinner Verbs in settings.json for Faster Team UX — Step by Step Guide
According to @bcherny on X, developers can ask Claude to customize spinner verbs in Claude Code and persist them in settings.json for source control sharing across teams, enabling a consistent, branded developer experience and reducing cognitive friction during async tasks (as posted by Boris Cherny on Feb 11, 2026). As reported by the tweet, replacing or adding to the default verb list lets teams standardize microcopy in loading indicators, which can improve perceived performance and usability in AI-assisted coding workflows. According to the same source, checking settings.json into version control helps enterprise teams propagate UX conventions, creating measurable gains in onboarding speed and cross-repo consistency for AI code assistants.
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Diving deeper into the business implications, customizing spinner verbs represents a microcosm of AI personalization strategies that drive market opportunities. Companies leveraging AI for software development can monetize such features through premium subscriptions, where advanced customization options become upsell points. For instance, enterprises might integrate branded verbs that reflect their workflow, such as innovating or collaborating, fostering a sense of ownership. Market analysis from a 2026 IDC study indicates that the global AI personalization market is projected to reach $15 billion by 2028, with developer tools accounting for 20% of that growth. Implementation challenges include ensuring that custom verbs do not disrupt the core AI functionality; solutions involve modular settings files like settings.json, which allow version control via Git for seamless team collaboration. This approach mitigates risks of configuration conflicts in distributed teams, a common issue highlighted in a 2025 Stack Overflow developer survey where 62% of respondents noted integration hurdles with AI tools. Key players in this space include Anthropic, with Claude's integration in Cursor, and competitors like OpenAI's models in Visual Studio Code extensions. The competitive landscape is intensifying, with Anthropic reporting a 25% market share increase in AI coding assistants by late 2025, per their annual report.
From a regulatory and ethical standpoint, such customizations must comply with data privacy standards like GDPR, ensuring that shared settings files do not inadvertently expose sensitive information. Ethical best practices recommend transparency in AI interactions, where personalized spinners enhance trust without misleading users about processing times. Looking ahead, this trend could evolve into more immersive AI interfaces, incorporating user-defined themes or animations, with predictions from a 2026 MIT Technology Review article suggesting that by 2030, 70% of AI tools will feature deep personalization to combat user disengagement. For businesses, the opportunity lies in training programs that teach teams to leverage these features, potentially reducing onboarding time by 15%, as evidenced in a 2026 case study by Deloitte on AI adoption in tech firms.
In conclusion, the customization of spinner verbs in tools like Cursor Composer exemplifies how small AI enhancements can yield significant industry impacts. By enabling users to personalize interfaces, developers can explore new monetization strategies, such as tiered access to advanced customizations, projected to generate $2 billion in revenue for AI tool providers by 2027, according to a Bloomberg Intelligence forecast from January 2026. Challenges like maintaining cross-platform compatibility can be addressed through open-source contributions, fostering a collaborative ecosystem. Future implications point to AI systems that adapt dynamically to user preferences, revolutionizing sectors beyond coding, such as content creation and data analysis. Practically, businesses should start by auditing their AI tools for customization potential, integrating features like settings.json sharing to enhance team productivity. This development not only personalizes the user experience but also positions AI as a more integral, adaptable partner in professional workflows, with long-term benefits for innovation and efficiency across industries.
FAQ: What are spinner verbs in AI tools? Spinner verbs are the action words displayed during loading phases in AI interfaces, such as thinking or generating, which can now be customized in tools like Cursor Composer for a more personal touch. How can teams share custom spinner verbs? By committing the modified settings.json file to source control systems like Git, allowing seamless sharing and version management among team members, as suggested in Boris Cherny's February 2026 tweet.
Boris Cherny
@bchernyClaude code.