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
Research Vault: Open Source Agentic AI Research Assistant The Problem Nobody Talks About I was drowning in research papers. Not metaphorically—I had 50+ PDFs, dozens of articles, and a note-taking system that had... Architecture 08/01/2026
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
SRAL Framework: The Four Questions I Ask About Every AI Agent The Problem With Agent Evaluation Most conversations about AI agents focus on capabilities. Can it browse the web? Can it write code? Can it use... Architecture 24/12/2025
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
Statistics: Why Intelligent Systems Must Admit Uncertainty Executive Summary Most intelligent systems don’t fail because they lack data. They fail because they treat estimates as facts. Statistics exists to solve a very... Architecture 13/12/2025
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
