According to @godofprompt, Boris Cherny, the creator of Claude Code, has disclosed detailed insights into how Anthropic's engineering team leverages Claude Code for disciplined, verification-first software development. The workflow emphasizes planning before coding, parallel execution using subagents, rigorous verification protocols, and codifying lessons in persistent documentation such as CLAUDE.md. This approach, as explained by Cherny and reported on Twitter, focuses on maximizing merged PRs by treating Claude Code as robust infrastructure rather than an autocomplete tool. Key strategies include plan mode for complex tasks, use of subagents for context management and testing, automated hooks for code formatting, and a strong culture of institutional learning and continuous improvement. These methodologies enable high productivity and quality in AI-powered software engineering, presenting a blueprint for organizations aiming to scale AI agent adoption in real-world coding environments.