Building Production-Ready LangChain Agents: Architectural Patterns That Work Turning architectural gaps into engineering patterns The Gap Between Demo and Production Last week I evaluated LangChain's architecture using SRAL. The scorecard revealed something uncomfortable:... Agentic AI 13/01/2026
Applying SRAL to LangChain: An Architectural Evaluation A systematic evaluation of LangChain's architectural foundations using the SRAL framework Scorecard Summary Component Score Key Finding State ⚠️ Weak-to-Moderate Memory is optional, not architectural.... Agentic AI 02/01/2026
PART II — ReAct: The Architecture That Unified Agentic Reasoning Most discussions of ReAct frame it as a clever prompting technique. It isn’t. ReAct is the first time we gave language models a structure for... Agentic AI 19/12/2025
Machine Learning Types Are the Wrong Abstraction for Agentic Systems Executive Summary We still classify machine learning systems by how they are trained. Supervised. Unsupervised. Reinforcement learning. That taxonomy made sense when models were static.... Agentic AI 14/12/2025
PART I — Why Most Agents Fail: The Architectural Blind Spots Behind CoT and Tool-Only Models Modern agent demos look impressive until you load them with real work. Real constraints. Real ambiguity. Real environments. That’s when most agents collapse. And the... Agentic AI 12/12/2025
