Software Development

A section about the principles of building software products, application architecture, APIs, testing, and the software development lifecycle. The content is designed for readers who want to understand the logic of modern development without a deep technical background.

Two developers reviewing AI pair programming output from Codex and Claude Code on a laptop screen
Software Development

Codex vs. Claude Code: Two Ways of Thinking About AI Pair Programming

Ask ten developers which AI coding assistant is “better,” and you’ll likely get ten different answers — not because anyone is wrong, but because the question itself is incomplete. OpenAI’s Codex and Anthropic’s Claude Code can both read a codebase, write a fix, and run a test suite. What separates them is not raw capability but temperament: one is built to take a task off your plate and hand back finished work, the other is built to stay beside you while you make decisions. Understanding that difference matters more than any single benchmark score, because it determines how comfortably each tool slots into the way a real team actually ships software.

Diagram of software supply chain security controls across build, registry, and runtime
Software Development

Why Scanning Every Commit Is Not Enough: A Practical Guide to Software Supply Chain Security

Imagine a team that runs automated vulnerability scans on every pull request, enforces code review for every merge, and ships containers with confidence. Then one morning, their staging environment starts behaving strangely—not because of anything their developers wrote, but because a base image they pulled two weeks ago silently contained a compromised library. The scan passed. The code review passed. The trust assumption that broke everything was made before a single line of their own code was written.

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