If you do that then you're a programmer in my eye
CODE
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Prompt Engineering is Dead, Specs Are Alive: Prompts Become Reusable, Trainable, Reliable
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10/ So yes.. prompt engineering is dead. But specs are very much alive. And when treated right, prompts become specs. They become:
• Reusable
• Trainable
• Reliable That’s where our prompts come in. -
Beyond Docs: Executable, Trainable, Modular, Composable AI Model Specs
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8/ It’s more than docs. The model spec is:
• Executable (via eval prompts)
• Trainable (via reinforcement)
• Modular (like code)
• Composable (like APIs) Specs aren’t static. They’re alive. -
Deleting AI prompts is like deleting source code
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5/ Think about how we use AI today: Prompt → Model → Output We keep the code. But delete the prompt. That’s like deleting your source file and versioning the compiled binary. Insane, right?
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GPT-5 Outperforms Claude in Coding Abilities, Leak Reveals
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Now that’s a leak: GPT-5 is better at coding than Claude in real internal use Anthropic will probably release a new model soon after. Coding is what sets Anthropic apart from others.
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Neo AI launches NEO agentic machine learning engineer with sub-agents
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Neo AI debuted NEO, an “agentic machine learning engineer” powered by 11 sub-agents
— The Rundown AI (@TheRundownAI) 31 juillet 2025
It runs autonomously, working like a full-stack engineer that handles everything from data exploration and feature engineering to training, deployment, and monitoringpic.twitter.com/ofFAtGLGMtNeo AI debuted NEO, an “agentic machine learning engineer” powered by 11 sub-agents It runs autonomously, working like a full-stack engineer that handles everything from data exploration and feature engineering to training, deployment, and monitoring
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Subscribe to Weekly AI Engineering Tutorials and Open Source Repos
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If you're interested in ML, LLMs, and AI agents and want to receive weekly tutorials and open-source repos, subscribe to AI Engineering (it's free):
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Defining Vibe Coding: Which Definition Are You Using?
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Which definition of vibe coding are you using here?
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Sustainable Software Development Practices Beyond Rapid Prototyping
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If you care about building products people want you should care about being able to continue to develop them past the point where vibe coding alone can't carry you any further
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Extract Knowledge from Text Instead of Training Language Models
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Don't learn a language model, extract knowledge from text.