icon:: ✏️
generation_time:: [[2026-01-23]] T11:00:02Z

- # **TODOs and IDEAs**
	- {{query (and [[TODO]] [[KaraKeep-Highlights]] (or [[Ideas]] [[KaraKeep-Highlights]]))}}
	  query-table:: true
	  query-properties:: [:block]
- ## **“Vibe Coding”: The Future of Development or a Generational Divide? | CodeGPT**
  source:: https://www.codegpt.co/blog/vibe-coding-future-or-hype
  url:: https://karakeep.diruscio.org/dashboard/preview/osk8ozdguev9vbkw6ufwgesi
  tags:: [[AI-Assisted-Coding]] [[Artificial Intelligence]] [[Programming-Productivity]] [[Software Development]] [[Tech-Industry-Trends]]
	- The AI is treated as a "typing assistant" or "pair programmer."
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	- The human acts as: The "guide, tester, and refiner"—maintaining full control and responsibility.
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	- The proponents of "vibe coding" (Definition 2) argue for a fundamental shift in the developer's role, from implementer to designer and strategist.
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	- A healthcare professional with no coding background can now prototype a patient tracking system.
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	- "weekend toy projects" with tools like Cursor and Claude
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	- "programming by intention". The AI handles the "syntactic details" and "technical implementation", liberating the human to focus on "higher-level design" and "creative problem-solving".
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	- The promise of vibe coding is cognitive liberation, reframing the bottleneck in software from technical skill (writing syntax) to product vision (knowing what to build).
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	- Security Vulnerabilities
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	- Technical Debt and Maintainability
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	- This creates a "debugging nightmare". As one developer put it: "Debugging AI-generated code can be harder than writing it manually" because when an AI writes the code, the developer has no "mental map" of its logic.
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		- > **Note:** #P1
	- The hype of "10x productivity gains" is directly challenged by empirical data. A Randomized Controlled Trial (RCT) studying experienced developers working on real open-source repositories found that using AI tools made them 19% SLOWER.
	  background-color:: green
	- The Skillset Developers "manage AI rather than just write code".
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	- it's intelligent orchestration. The developers who will thrive in this new landscape are not those who abdicate responsibility to AI, but those who learn to conduct it.
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	- it's about humans with AI, working in a careful, intentional partnership.
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		- > **Note:** [[P1]]
	- From Meme to Mainstream: Defining the Phenomenon
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		- > **Note:** This is related to [[PAPERS/J-Collaborative-Development]]

- ## **L’eclissi del pensiero critico? Intelligenza Artificiale, debito cognitivo e responsabilità**
  source:: https://www.quotidianosanita.it/uncategorized/leclissi-del-pensiero-critico-intelligenza-artificiale-debito-cognitivo-e-responsabilita/
  url:: https://karakeep.diruscio.org/dashboard/preview/q145b7y1pzntp7p8rcnkuwvy
  tags:: [[Artificial Intelligence]] [[Cognitive-Science]] [[Critical-Thinking]] [[Human-Computer-Interaction]] [[Medical-Education]]
	- DEFT-AI che può offrire un approccio strutturato e di buon senso per promuovere il pensiero critico nelle interazioni con i sistemi di IA.
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	- saper riconoscere quando poter fare affidamento (modalità cyborg) e quando invece è necessario confermare criticamente gli output (modalità centauro).
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	- sostituire la logica del “trust and go” (fidarsi e andare avanti) con la metodologia del “verify and trust” (verificare e fidarsi) in cui l’output dell’IA viene prima valutato secondo il principio di esplicabilità e poi utilizzato.
	  background-color:: yellow
	- nuove competenze o si potenziano quelle esistenti per adattarsi a tecnologie e pratiche emergenti (up-skilling).
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	- In definitiva con l’up-skilling non solo si incrementa efficienza e sicurezza ma ci si protegge anche dai rischi di deskilling, garantendo che l’apprendimento e la pratica professionale evolvano insieme alla tecnologia.
	  background-color:: yellow