software-engineering

Engineer reviewing an AI agent’s code change and verification results

AI Agents for Developers: What Changes When Your Coding CLI Can Act

If you use Codex or Claude Code in a terminal, you’ve seen the shift: the tool doesn’t just answer questions about your code. It reads files, edits them, runs commands, and reacts to the output. That’s the practical meaning of “agent”, and it changes what you supply and what you check.

This post is for developers who use these tools but haven’t studied how agents work. We’ll walk through one small change in an unfamiliar repository and mark where the engineer sets the boundary and verifies the outcome.

Categories: Software Development, AI Tools
AI Primer

AI for Developers: A Practical, No-Hype Primer for AWS & Backend Engineers

AI has quietly moved from “interesting experiment” to default tooling for many development teams. If you’re a backend, DevOps, or cloud engineer, you’re already using it—sometimes intentionally, sometimes indirectly—whether it’s in IDE assistants, CI pipelines, log analysis, or documentation workflows. This article is not a hype piece, a vendor comparison, or a prompt-engineering guide. It’s a practical, architecture-oriented view of AI in 2026: what it really is, where it fits into an AWS-centric stack, and where engineers routinely get burned.