PROMPT ENGINEERING - AI Dynamics

Anthropic’s Claude Opus 4.8 and 7 Claude Code Prompts

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29 May 2026 14h15

Claude 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: 👇 pic.twitter.com/bBX5KXnmCM
— God of Prompt (@godofprompt) 29 mai 2026

Claude 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:

→ View original post on X — @godofprompt,

29 May 2026

LLM Differentiation: Context Over Model Selection

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@fogoros

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29 May 2026 14h01

Every manufacturer uses the same LLMs. The differentiator is the context fed to those models, not the models themselves.

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29 May 2026

Think before you prompt: second-order prompting advice

By

@godofprompt

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29 May 2026 11h45

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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29 May 2026

Three-question prompt review to anticipate model outputs

By

@godofprompt

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29 May 2026 11h45

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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29 May 2026

AI models are literal first-order thinkers

By

@godofprompt

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29 May 2026 11h45

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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29 May 2026

Ask the follow-up: improve generic AI outputs

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@godofprompt

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29 May 2026 11h45

"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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29 May 2026

Claude roleplays an economist and self-evaluates a paper

By

@emollick

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29 May 2026 3h17

Claude really can roleplay an economist. I love this little comment Claude made after some robustness checks on the paper it wrote: "On a 1–10 identification scale, I'd now put the paper at about 4.5 — better than the 3.5 I'd have given before these tests, but well short of

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29 May 2026

AI Reasoning Laziness and Prompt Injection Solutions

By

@dfintelligence

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28 May 2026 23h49

Anthropic semble avoir trouvé une solution aux problèmes où l’IA vous donne une réponse incorrect car elle a la flemme et préfère arrêter le raisonnement. Moi je dis ils doivent faire du prompt injections à chaque thinking avec des menaces .

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28 May 2026

Opus 4.8 research workflow and GPT-5.5 feedback

By

@emollick

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28 May 2026 23h27

Opus 4.8 formulated the hypotheses in advance, conducting data cleaning, did research on references, conducted analyses, did robustness checks, and put out the whole paper in LaTEX style. GPT-5.5 found one issue with a hallucinated result, and had other constructive feedback.

→ View original post on X — @emollick,

28 May 2026

AI agents wrote and reviewed an academic paper

By

@emollick

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28 May 2026 22h40

I had Opus 4.8 in Claude Code write a sophisticated, if minor, academic paper from a archive of hundreds of de-identified research files from years ago I had to use GPT-5.5 Pro as a reviewer, it spotted one major error & some minor points. Opus corrected https://
embeddedness-gradient.netlify.app

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28 May 2026