12 Jan 2026
LOG ENTRYSOURCE: NATIVE
Ralph Mode: Why AI Agents Should Forget
The technique behind viral AI agent loops: treat context like managed memory. State lives in files, not conversation. Progress persists. Failures evaporate.
SYSTEM_LOG
System log: AI SDLC, platforms and agents in the field
Short, precise notes from actual mandates—what worked, what broke and patterns that repeat across AI SDLC, platforms and operational agents.
09 Jan 2026
LOG ENTRYSOURCE: NATIVE
The "Untrusted Actor" Pattern: My Take on Ralph Mode
Standard Ralph gates on tests passing. My version adds an adversarial intelligence that must explicitly sign off before progress is allowed.
28 Dec 2025
LOG ENTRYSOURCE: SUBSTACK
The "Context Hygiene" Problem: Why I Rewrote My Claude Code Workflows
I was losing 40k tokens on startup. So I built Flow—a plugin that uses command stubs, progressive disclosure, and adversarial review loops.
08 Dec 2025
LOG ENTRYSOURCE: SUBSTACK
Announcing gmickel-bench: Real-World Evals
Most AI benchmarks tell you if a model can solve a LeetCode puzzle. They don't tell you if it can ship a product.
07 Dec 2025
LOG ENTRYSOURCE: SUBSTACK
Claude Opus 4.5 Unlocks the "No Restart" Workflow
Practical tips from two weeks of shipping with the best agentic model yet.
02 Dec 2025
LOG ENTRYSOURCE: SUBSTACK
The Merchants of Complexity: Why AI Finally Delivers What Agile Promised
Why modern AI delivery patterns finally unlock what agile promised - and how to structure teams to ship safely.
22 Apr 2025
LOG ENTRYSOURCE: SUBSTACK
The Imperative of Smarter Clinical Information Systems
How AI agents and openEHR can lift healthcare out of its purgatory by structuring every input and embedding it into durable clinical knowledge.
08 May 2023
LOG ENTRYSOURCE: SUBSTACK
Unlimited Chatbot Context & History in Under 100 Lines with LangChain + Node.js
Store everything, retrieve only what matters: long-context chat in ~100 lines with LangChain and Node.
01 May 2023
LOG ENTRYSOURCE: SUBSTACK
The Importance of Context in AI: Garbage In, Garbage Out
Context quality sets the ceiling for AI outcomes; better retrieval and cleaner signals beat model hype.