icon:: ✏️
generation_time:: [[2026-01-24]] T21:56:30Z

- # **TODOs and IDEAs**
	- {{query (and [[TODO]] [[KaraKeep-Highlights]] (or [[Ideas]] [[KaraKeep-Highlights]]))}}
	  query-table:: true
	  query-properties:: [:block]
- ## **How Agent Handoffs Work in Multi-Agent Systems | Towards Data Science**
  source:: https://search.app/TLKfg
  url:: https://karakeep.diruscio.org/dashboard/preview/biijh0k3p2kzivskr2b16t1c
  tags:: [[Artificial Intelligence]] [[Multi-Agent Systems]] [[agent handoffs]] [[large language models]] [[workflow orchestration]]
	- Conditional edges
	  background-color:: blue

- ## **GitHub - muratcankoylan/Agent-Skills-for-Context-Engineering: A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.**
  source:: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
  url:: https://karakeep.diruscio.org/dashboard/preview/mujjzfwwjb2xbqiugz3i92nv
  tags:: [[AI System Optimization]] [[Agent Architectures]] [[Artificial Intelligence]] [[Context Engineering]] [[Multi-Agent Systems]] [[agent skills]]
	- Effective context engineering means finding the smallest possible set of high-signal tokens that maximize the likelihood of desired outcomes.
	  background-color:: blue
		- > **Note:** #card

- ## **“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]]
	- From Meme to Mainstream: Defining the Phenomenon
	  background-color:: green
		- > **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]]
	- Il modello cyborg, invece, prevede un’integrazione molto più stretta, con una co-produzione continua tra umano e IA, particolarmente efficiente per attività ripetitive e a basso rischio ma esposta al rischio di deskilling e dipendenza.
	  background-color:: yellow

- ## **Machine Learning Model Development and Model Operations: Principles and Practices - KDnuggets**
  source:: https://www.kdnuggets.com/2021/10/machine-learning-model-development-operations-principles-practice.html
  url:: https://karakeep.diruscio.org/dashboard/preview/q984a0m36auekgemwpga0ybi
  tags:: [[MLOps]] [[Machine Learning]] [[data science]] [[model development]] [[model operations]]
	- In some cases, a set of dummy variables or derived variables are created, especially in handling ‘date’ data types.
	  background-color:: green