Codex Best Practices
Codex Best Practices and common pitfalls to avoid
Technical blog
Practical engineering guides and insights
Ollama vs OpenRouter Comparison Local Engine vs Cloud Gateway
Compare Ollama local runtime and OpenRouter cloud API gateway for LLM integration privacy and cost.
Jev System One Decision Engine Overview
Jev is a System One decision engine returning typed probabilistic outputs from structured input state.
Agentic Engineering for Legacy Codebases
Deploy autonomous AI agents into legacy codebases safely using strict risk zones and automated verification.
Self Driving Product Architecture with Autonomous Agents
Autonomous software agents optimize product architecture using continuous feedback loops.
WebMCP Client Side Browser Standard for AI Agents
WebMCP exposes client side JavaScript to AI agents directly within the browser session context.
Context Engineering Overview and Key Architecture Patterns
Learn how context engineering manages dynamic context windows for AI agents beyond simple prompt engineering.
Managing AI Generated Pull Requests and Code Review Workflows
Learn how engineering teams manage AI PR volume with automated triage meta review and noise mitigation.
OpenAI Codex Interaction Surfaces Overview and Architecture
Explore OpenAI Codex across CLI Desktop Web and IDE interfaces with unified access and shared usage allowances.
SEO Funnel Strategy TOFU MOFU BOFU Keyword Intent
Align TOFU MOFU and BOFU stages with keyword intent to drive higher organic revenue and conversions.
Cyclomatic Complexity and CRAP Metrics Guide
Learn how Cyclomatic Complexity and CRAP metrics evaluate code maintainability execution paths and change risk.
Understanding Change Risk Anti-Patterns CRAP Metric
The CRAP metric evaluates software risk by combining cyclomatic complexity with automated test coverage.
Software Factory Architecture and Agentic Workflows
Software factories automate code generation and verification using event driven workflows and quality gates.
Model Context Protocol Overview and Architecture
Learn about the Model Context Protocol architecture for coordinating context between AI models and data sources.
Model Context Protocol MCP Technical Overview
MCP connects LLM applications with external data sources and execution tools via JSON-RPC 2.0.
Dark Factories and Lights Out Manufacturing
Learn how dark factories use robotics and AI to enable fully automated lights out manufacturing processes.
Knowledge Distillation in Machine Learning
Learn how knowledge distillation transfers capabilities from teacher models to smaller student models.
Spec-driven Development for AI and LLM Projects
Spec-driven development prioritizes a comprehensive specification before AI implementation. It reduces costs AI hallucination and enhances collaboration.
AI Agent Autonomy A Task Centric Delegation Framework
Understand AI agent autonomy through a task centric framework focusing on checkability and undoability to safely accelerate development.
Software Factory Evolution AI and Automation in Production
Exploring the software factory paradigm with AI and agentic systems. It balances dark and lit factory models and human oversight.