5. Interview For anything ambiguous, don't write the full spec yourself. Make Claude extract it: "I want to build [rough idea]. Before we start, interview me. Ask me one question at a time about requirements, constraints, edge cases, and what done looks like. Keep asking until
@godofprompt
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Prompt: Grill the AI to defend code changes
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2. The Grill After Claude says it's done, don't trust it. Make it defend the work: "Grill me on these changes. Diff your work against main, find every assumption you made, every edge case you didn't handle, and every place this could break in production. Don't open a PR until
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Plan-first prompt for feature development
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1. Plan-First Lock Before any feature, paste this: "Before writing any code, explore the relevant files and explain your plan for [feature]. List the files you'll change, the approach for each, and any edge cases you see. Do not write a single line until I approve the plan."
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Anthropic’s Claude Opus 4.8 and 7 Claude Code Prompts
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Claude Opus 4.8 just dropped. Anthropic says it's 4x less likely to let flawed code slip through than 4.7.
— God of Prompt (@godofprompt) 29 mai 2026
But the model is only half of it. The other half is how you prompt it.
Here are 7 Claude Code prompts the best builders already run on repeat. Steal all 7: 👇 pic.twitter.com/bBX5KXnmCMClaude Opus 4.8 just dropped. Anthropic says it's 4x less likely to let flawed code slip through than 4.7. But the model is only half of it. The other half is how you prompt it. Here are 7 Claude Code prompts the best builders already run on repeat. Steal all 7:
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Think before you prompt: second-order prompting advice
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Most prompting advice focuses on structure. Templates. Formats. Roles. Those matter. But they're surface mechanics. The real skill is what you think about BEFORE you write the prompt. Second-Order Thinking is one framework. There are dozens more from investing, military
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Three-question prompt review to anticipate model outputs
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The method is three questions. Use them before you hit send on any prompt. 1. "What's the most obvious output I'll get from this?" 2. "What happens after that output gets implemented?" 3. "What second and third-order effects should the model account for?" Add questions 2 and
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AI models are literal first-order thinkers
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AI models are first-order thinkers by default. You ask a question, they answer it. Directly. Literally. Without considering what happens next. That's not a flaw. That's how they work. The model responds to exactly what you give it. So if your prompt doesn't include the second
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Ask the follow-up: improve generic AI outputs
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"Why does my AI output sound so generic?" Because you're prompting at the surface. You ask for a strategy, AI gives you one, you move on. You never ask "and then what happens?" That one missing question separates average AI work from exceptional. And it has a name.
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Pope Issues Major Encyclical Focused on AI
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Some people calling this a declaration of war on AI. It's not. I read it. Pope Leo XIV just released "Magnifica Humanitas." 42,300 words. His first encyclical. The most authoritative document a pope can issue. Entirely focused on AI. He signed it on the 135th anniversary of
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Prompt engineering challenge: multi-format conversion
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Challenge 6: The Format Switcher Give them a single paragraph from a blog post. Ask them to convert it into three formats in one prompt: a tweet, a LinkedIn post, and a cold email subject line. One prompt. Three distinct outputs. Do they specify each format's constraints