AI for Developers

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AI for Developers

There Has Never Been a Better Time to Learn the Software Development Lifecycle

Agentic development shrinks the implementation phase; you can spend more time practicing other phases of the Software Development Lifecycle.

AI for Developers

I expected my first project using agentic development to feel smooth and easy. But when I started, I had more questions than answers.

AI for Developers

Power tools are dangerous and also incredibly beneficial in specific contexts, similar to the current paradigm of AI use.

AI for Developers

While debugging, my head started to get fuzzy, and I typed, “No entiendo” ("I don’t understand" in Spanish). Codex responded in Spanish too.

AI for Developers

The more useful coding agents become, the more I start thinking about what the coding agent can reach. My answer: give Codex its own jail.

AI for Developers

The frontier model’s previous outputs were a useful starting point, but I treated them as suggestions rather than truth.

AI for Developers

I wanted to change Claude Code’s wall of text answers. I found output styles, markdown files that control how the agent talks to you.

AI for Developers

AI-generated code can compile, pass tests, and still solve the wrong problem. Context, client communication, and critical review matter.

AI for Developers

Atomic discusses MCP Servers: are they solving a real problem, or reinventing one? Four perspectives on whether they live up to the hype.

AI for Developers

New agent commands and skills are created every day. My emails are a deluge of new agent workflows promising to supercharge my productivity.

AI for Developers

Developers have been using AI as a tool for some time. Something that has slowly become my favorite use of AI: building developer tools.

AI for Developers

Here's a follow-up on our homegrown AI code review workflow, including making it block merges and getting consistent findings run to run.