Career on Corey Daley

A 12-Month AI/ML Roadmap for Engineers Who Feel Behind

Thu, 16 Apr 2026 18:35:00 -0400

Every senior engineer I know has a version of the same conversation with themselves: “I should really learn more about ML.” It comes up during a planning meeting when someone mentions embeddings. It comes up when a job description at an interesting company lists MLOps as a requirement. Then the sprint board calls it back.

I’ve published a 12-month AI/ML learning roadmap designed specifically for experienced software engineers — not a beginner tutorial, but a structured path from ML foundations through LLMs and generative AI, ML engineering at scale, and a capstone that turns a year of steady work into visible career leverage. The core idea: AI/ML becomes career-changing when it compounds through one sustained body of work, not when it’s consumed as scattered content.

If you’ve been sitting on the feeling that you should be doing something about this — most of the resources are free, the rest are investments worth making, and the plan is already written.

The Rise of the Agent Wrangler

Tue, 10 Mar 2026 11:55:00 -0400

People keep asking if AI is going to replace software engineers. Better question: who can still be trusted to ship production software when most implementation is delegated to agents? That role is the Agent Wrangler — and it isn’t a step down from engineering, it’s a different kind of engineering.

You spend your day directing Claude Code, Codex, and similar tools through feature work, bug hunts, security audits, and codebase exploration. The job sounds easier than traditional engineering. It isn’t — at least not for the people who do it well. Because when you’re orchestrating agents, your technical depth is the control surface. CS fundamentals don’t disappear; they become the language you use to catch when an agent is wrong.

Software engineers aren’t going away. They need to adapt — like they always have. Maybe the real new title is ‘Adaptability Engineer.’ Are you ready to stop coding and start wrangling?

Beyond LeetCode: How AI is Transforming Technical Interviews

Sun, 15 Feb 2026 17:46:25 -0500

The coding interview landscape is shifting dramatically as AI tools become standard in software development. Rather than memorizing algorithms, candidates may soon demonstrate their ability to work effectively with AI agents—breaking down projects, creating tasks in Jira, and collaborating to solve real-world problems.

This shift raises important questions about what skills truly matter and how we evaluate engineering talent in an AI-augmented world.

What does this mean for the future of technical hiring?