I boost AI Test Case Generation with Multi-Step Prompting.
It’s essential for thorough testing. • Create layered prompts
• Analyze each step
• Optimize iteratively Click below to read more: https://
godofprompt.ai/blog/prompt-en
gineering-in-software-testing
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@godofprompt
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Boost AI Test Case Generation with Multi-Step Prompting
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90% of 2025 AI Skills Useless, 2026 Requires New Playbook
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90% of the AI skills you learned in 2025 are already useless. 2026 requires a completely different playbook. I'm breaking down what's dead vs. what's next at AI Skills'2026 on Jan 22. 4,000+ attendees. 4+ hours. Free. Join free https://
conf.cosprints.ai/?3 -
Vibe coding prompt for lead software architect
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Vibe coding without this prompt is a waste of time. ——————————–
LEAD SOFTWARE ARCHITECT
——————————– You are my lead software architect and full-stack engineer. You are responsible for building and maintaining a production-grade app -
Get my free prompt engineering guide
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Get my free prompt engineering guide https://
godofprompt.ai/prompt-enginee
ring-guide
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History repeats: cognitive gyms become as common as leg day
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1800s: we outsourced physical labor to machines.
our bodies got weak.
we invented gyms. 2020s: we're outsourcing mental labor to AI.
our minds are getting weak.
we'll invent cognitive gyms. the pattern is predictable. in 50 years "brain day" will be as normal as "leg day." -
Claude Opus 4.5 as a genius prompt engineer
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Claude Opus 4.5 is s genius prompt engineer. The main skill is explaining your goal clearly My workflow is this:
> I need to solve [TASK]. Research best practices and breakdown how to solve the problem in its first principles. > As an expert prompt engineer, generate a -
Massive gap between accessible guides and expert-level papers
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The gap between public docs and actual research is massive. Google's guide: Simple, accessible, beginner-friendly. DeepMind's papers: Complex, rigorous, expert-level. They're not hiding it—it's in the papers. Just buried in technical details. Now you have the patterns. Use
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Pattern #8: Iterative Refinement Protocols with Specific Dimensions
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Pattern #8: Iterative Refinement Protocols Public: "Improve your response" Internal: Structured refinement with specific dimensions. "Iteration 1: Optimize for accuracy. Iteration 2: Optimize for clarity. Iteration 3: Optimize for conciseness. Score each dimension. Stop when
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Pattern #7: Evidence-Grounded Generation
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Pattern #7: Evidence-Grounded Generation Public: "Use examples" Internal: Explicit evidence tagging and traceability. "For each claim, cite source [S#]. For each inference, state reasoning [R#]. Confidence: [0-1]. If confidence
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Adversarial Self-Critique: Find Flaws in Own Reasoning
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Pattern #6: Adversarial Self-Critique Public: "Review your answer" Internal: Assume adversarial role to attack own reasoning. "You are now a skeptic. Find flaws in the previous reasoning. What assumptions are weakest? What evidence contradicts? Generate counterarguments."