Jeder LLM-API-Call ist ein Clean Slate — 8 Memory-Architekturen im Vergleich: Context Window, RAG, MemGPT, Mem0, Zep, LangGraph und File-basierte Ansätze.
Every LLM API call is a clean slate — 8 memory architectures compared: context windows, RAG, MemGPT, Mem0, Zep, LangGraph, and file-based approaches.
What changed since January: session-mining, browser feedback loops, parallel instances. Why deeper integration beats adding more tools.
From 118 commits in three days to a pragmatic pivot — the final chapter of building an AI development team.
Erzwungener Wechsel von JetBrains zu VSCode wurde zum Wendepunkt — 15 spezialisierte AI-Modi, 118 Commits in 3 Tagen, ein selbst-organisierendes Entwicklungsteam.
Over-engineering, mode drift, context overflow — real problems and solutions from building a 15-mode AI development team.
Language servers, Superpowers, Context7, and the v2.1.0 security fix — my essential tools after 3 months of intensive use.
How I built an AI development team that coordinates like a real agile squad — with zero information loss between 15 specialized modes.
A forced VSCode migration sparked the creation of a complete AI development team with 15 specialized modes — 118 commits in 3 days, a self-organizing system.
How metacognition transforms reactive chatbots into adaptive, self-improving AI systems
Warum GPT-3.5 den Bat-Ball-Test versagt, GPT-4 mit Chain-of-Thought aber besteht — und wie TRAP, Reflexion und LATS KI-Agenten das Lernen aus Fehlern beibringen.
