ShiftMag

As AI tools reshape how software is built, the engineers in our new video say the job is shifting from writing every line by hand to guiding, reviewing, and orchestrating what AI produces.

Your AI metrics might be measuring the wrong thing. Dr. Catherine Hicks explains how to fix the theory, not the dashboards.

When tech company ustwo assessed one AI product’s carbon footprint, they found most came from AI inference. It raised a question: if AI has a measurable environmental impact, why is it almost invisible to everyday users?

What economist Charles Goodhart said in 1975 is completely applicable in 2026: When a measure becomes a target, it ceases to be a good measure.

At a CTO Craft Dinner in Toronto, I sat down with engineering leaders from more than a dozen tech companies and asked where AI has actually landed. The free-for-all is over and we need to be realistic.

Developers share how they handle deadlines, pressure, and team communication - and why small white lies sometimes help engineering teams keep moving.

Watching AI product evolution from the sidelines makes you feel like things are going fast, but according to Anthropic's Gian Segato, that might not be the best metric.

This team was shipping production code at the same time as the MCP specification was taking shape. That is the reality of working with a technology that was evolving in real time.

A CTO with 20 years of experience through multiple tech shifts sees layoffs not as an AI effect, but as a correction after an unsustainable hiring boom. He sees AI as a reset: an opportunity for strong junior engineers, and a wake-up call for senior developers facing an existential shift in how they stay relevant.

When dozens of developers share the same environment and Git repository, testing changes quickly becomes chaotic. Here's how Kubernetes solves that.

There is a gap most engineering leaders prefer not to explore: the distance between the clarity they believe they're projecting and the confusion their teams actually experience.

The case for cutting junior engineers looks airtight at the CFO level, but wrong from every other perspective.

ShiftMag Insightful engineering content & community

A Future Where Nobody Writes Code Manually Might Be Closer Than It Seems

Tokens and PR velocity won’t tell you if your AI investment is paying off

This IDE Plugin Shows the Energy Cost of Your AI Prompts

AI generates larger pull requests. Larger pull requests bring more bugs.

CTOs Agree: Cognitive Debt Is the New Technical Debt

The Small Lies Developers Tell to Keep Work Moving

Gian Segato, Anthropic: “AI Products Are a Lagging Indicator of Growth”

Your API Is Already a Hidden MCP Server, You Just Need to Discover It

20 Year Old Unicorn Goes AI-First Without Mass AI Layoffs

Solving the Multi-Contributor Challenge with Kubernetes and Ephemeral Environments

Engineering Leaders, You Should Be Worried If Your Team Isn’t Pushing Back

Don’t Hire Juniors to Write Code, Hire Them to Become Seniors