Ai
From RAG to the Library: History Rhymes
RAG and skills aren’t new ideas — they mirror how humans have always retrieved knowledge. History suggests the destination: the library, with its hierarchical organization built for navigation at scale.
Agents are features not products
The pitch is that AI-first companies don’t need traditional tooling, that known approaches are dead. The nuance: models can only one-shot without an intermediate piece to iterate on, and that piece is what traditional approaches produce. The model multiplies the operator; it doesn’t replace the workflow. Just like GPS software vanished into car consoles, agents will vanish into products.
The new moats of SaaS
SaaS isn’t dying, but the cost of software is shifting. Moats, enterprise ownership, and the era of customization.
Smart Agents Don't Need Managers
The irony of ‘PhD-level’ agents needing human orchestrators is fading. Context windows and on-demand subagents make manager layers obsolete.
RAGs, MCPs and Scripts. AI moves fast
How traditional RAG is being rapidly replaced by agent-based querying and lazy-loading systems like Claude Skills, and why scripting provides superior context window management
MCP - Will they be the new XML?
Exploring whether Model Context Protocol will follow the path of XML - promising simplicity but ending up as complex infrastructure