The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops.
The fastest-moving conversation in AI developer tooling this week began with a job description. Boris Cherny, head of Claude Code The post The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops. appeared first on The New Stack .
The rapid evolution of AI models and developer tooling is leading to continuous innovation in how developers interact with and build upon these systems.
This shift from traditional prompting to programmatic looping signifies a maturation in AI development, potentially leading to more robust, complex, and autonomous AI systems.
Developers may move away from iterative prompt engineering towards more structured, code-based approaches for building AI applications, leading to higher-level abstractions in AI engineering.
- · AI developers proficient in traditional programming
- · Companies building advanced AI developer tools
- · Anthropic
- · Prompt engineering as a primary skillset
- · Simple API wrappers for AI models
Increased efficiency and complexity in AI application development.
A widening skill gap between prompt engineers and AI software engineers.
The acceleration of AI agents capable of performing multi-step, autonomous tasks with less human oversight.
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