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Boris Cherny on Trying to Get Claude Code to Rewrite the Claude App
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Boris Cherny, head of Claude Code at Anthropic, emphasized the importance of challenging Claude with difficult tasks rather than focusing solely on prompt engineering. He discussed strategies for directing Claude to tackle complex assignments during an interview at Y Combinator’s Startup School 2026.
Summary from daringfireball.net.
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Hacker News · daringfireball.net
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Based on 5 sampled comments from this thread. Analyzed 2026-08-03.
- Praise: Boris raises an important point about verification — it's the single most crucial aspect that often gets overlooked in AI-driven app development.
- Praise: The adaptation of model-based systems engineering to improve verification processes is an innovative approach that could enhance reliability in AI applications.
- Concern: The results from Claude models are flaky, with some users reporting better performance from older models like Meta Llama 4 — that’s a troubling sign for Claude's current capabilities.
- Concern: Relying on LLMs for parsing and UI tasks is misguided; they're terrible at actual parsing and need human input to be effective.
- Concern: Two weeks of token usage could cost tens of thousands, suggesting that hiring a skilled developer might yield better results than relying on LLMs for complex tasks.