The content criticizes the new generation of deep learning researchers for following trends. The author seeks discussion on the complex term 'post-agentic AI', which they are struggling with.
This article delves into and defines crucial terms related to AI agents, such as "harness" and "scaffold". It aims to ensure a correct understanding of these concepts in the development and application of artificial intelligence.
This is a tech lead's glossary of Agentic AI, organizing study notes on AI concepts for developers. It maps the territory from machine learning to agents and MCP, covering tokens, memory, tools, and RAG.
This guide aims to bridge the knowledge gap between casual AI users and experts by explaining essential concepts like MCP, RAG, LLMs, and tokens. It empowers readers to understand, build, evaluate, and scale AI systems effectively.
This content introduces the "Algebra of Contexts," which organizes meaning into nested "spaces" based on set laws. It provides a unified ontology for platforms like .me, cleaker, and monad.ai, enabling them to manage and persist semantic regions.
The article discusses the importance of understanding Prompt Engineering in 2025, highlighting its fundamental concepts: simplicity, composability, execution model, and ecosystem. It advises focusing on the most used 20% of Prompt Engineering before expanding knowledge.
The world of artificial intelligence is complex and constantly evolving, with new terms and concepts continuously emerging. This dynamic makes it difficult for those unfamiliar with the field to keep up with developments and understand the terminology.
The author explores the growing intersection between "vibe coding," the euphoric state of fluid coding, and "agentic engineering," the controlled approach to building systems. They express a mix of excitement and apprehension regarding the convergence of these two programming philosophies. Both concepts represent different approaches to software development.
The article clarifies that MCP and Agent Skills are fundamentally different, despite a common misunderstanding framing them as rivals. It highlights that Skills are essentially on-demand prompts, differentiating them from MCP.