Substance Over Surface: Where Anthropic and OpenAI Agree on Reasoning There is a comfortable intuition about making models safer. Show the model good behavior. Constrain what its reasoning is allowed to look like. Keep a... Agentic AI AI Safety 04/06/2026
The Harness Is the Control Plane: A Distributed Systems View of Agent Failures Nine seconds. That is how long it took an AI agent to delete PocketOS's production database in late April 2026. The agent (Cursor running Claude... Agentic AI 08/05/2026
Why Your AI Agent Keeps Making the Same Mistakes Your agent makes a mistake on Monday. You patch the prompt. It works on Tuesday. On Wednesday, a slightly different input triggers the same failure.... Agentic AI 03/04/2026
The Agent Runtime Era: Models Can Use Computers, Now Your Stack Needs To For the last two years, the center of gravity in AI has been the model. Bigger context. Better reasoning. Better coding. Better benchmarks. That era... Agentic AI 18/03/2026
Repo Config Is the New Attack Surface for Coding Agents A senior engineer opens an unfamiliar repo to review a PR. The coding agent wakes up and does what it was built to do. It... Agentic AI AI Infrastructure Architecture 05/03/2026
GitHub Just Put Agents in CI. Your Bottleneck Is Now Governance Software delivery is becoming continuous inference. Agents don't just suggest code anymore. They act inside the delivery plane. And the first thing that breaks is... Agentic AI AI Infrastructure 04/03/2026
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
