Dark Code: The Silent Rot AI Accelerated
AI coding assistants accelerate dark code: codebases filled with code no one understands, owns, or can safely change. A framework for measuring the rot.
Blog
Articles on building things — cloud platforms, AI agents, data pipelines, mobile apps, and the occasional robotic arm.
Browse by Topic
ai (17) devops (15) kubernetes (14) python (13) data-science (13) cloud-native (12) android (7) mobile (7) security (5) llm (4) data-engineering (4) code-quality (3) ai-coding-assistant (3) docker (3) containers (3) platform-engineering (3) architecture (2) claude-code (2) anthropic (2) developer-tools (2) agentic-workflow (2) context-engineering (2) ai-agent (2) eda (2) statistics (2) yaml (2) programming-languages (2) software-aesthetics (2) iot (2) ios (2) technical-debt (1) artificial-intelligence (1) machine-learning (1) generative-ai (1) visual-guide (1) ai-landscape (1) mcp (1) jupyter (1) notebooks (1) fastapi (1) production (1) github-actions (1) ci-cd (1) automation (1) data-analysis (1) nist (1) data-visualization (1) k8s (1) docker-compose (1) databases (1) database-compass (1) javascript (1) beauty-index (1) observability (1) prometheus (1) grafana (1) ollama (1) terraform (1)
2026
Claude Code Guide Refresh: 14 Chapters, 3 New Topics, Updated Cheatsheet
The Claude Code Guide is now 14 chapters covering Plugins, Agent SDK, Computer Use, plus major rewrites across every existing chapter. Here is what changed and why it matters.
Making Sense of the AI Landscape: A Visual Guide for Everyone
A visual guide to understanding artificial intelligence in 2026. 51 key concepts organized into 9 clusters, from machine learning basics to generative AI and agentic systems — explained for non-technical readers.
The Context Window Is the Product
Most developers treat Claude Code as a chat box with tools. The ones who get 10x results treat the context window as a product they design. A practitioner's guide to 11 chapters on mastering Claude Code, from first agentic interaction through multi-agent orchestration.
Learning EDA with Jupyter Notebooks
10 hands-on Jupyter notebooks for Exploratory Data Analysis using real NIST datasets. Download notebooks with bundled data files, or run them instantly in Google Colab.
AI Agents Write Features, Not Production Systems
Why prompting an AI agent to build a FastAPI app gets you functional code but not production infrastructure. How hand-crafting 13 production concerns into a chassis lets the agent focus on what it's good at: business logic.
GitHub Actions Best Practices
Production-tested guide to writing secure GitHub Actions workflows. 48 rules across security, semantic correctness, best practices, and style with fix examples.
Exploratory Data Analysis: A Visual Encyclopedia
A comprehensive interactive reference for Exploratory Data Analysis based on the NIST/SEMATECH Engineering Statistics Handbook. 90+ pages covering graphical techniques, quantitative methods, probability distributions, and case studies.
Kubernetes Manifest Best Practices
Production-tested guide to writing secure Kubernetes manifests. 67 rules across security, reliability, RBAC, and cross-resource validation with fix examples.