Great Developers Are Curious, Creative, and Ready for AI
At Infobip Shift, accomplished speaker and engineer Teresa Wu will talk about how AI is transforming software delivery, multi-platform development, and the future of engineering teams.
Tokens and PR velocity won’t tell you if your AI investment is paying off
Your AI metrics might be measuring the wrong thing. Dr. Catherine Hicks explains how to fix the theory, not the dashboards.
This IDE Plugin Shows the Energy Cost of Your AI Prompts
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?
AI generates larger pull requests. Larger pull requests bring more bugs.
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.
A Future Where Nobody Writes Code Manually Might Be Closer Than It Seems
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.
The Small Lies Developers Tell to Keep Work Moving
Developers share how they handle deadlines, pressure, and team communication - and why small white lies sometimes help engineering teams keep moving.
Gian Segato, Anthropic: “AI Products Are a Lagging Indicator of Growth”
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.
Your API Is Already a Hidden MCP Server, You Just Need to Discover It
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.
CTOs Agree: Cognitive Debt Is the New Technical Debt
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.
Solving the Multi-Contributor Challenge with Kubernetes and Ephemeral Environments
When dozens of developers share the same environment and Git repository, testing changes quickly becomes chaotic. Here's how Kubernetes solves that.
20 Year Old Unicorn Goes AI-First Without Mass AI Layoffs
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.
Engineering Leaders, You Should Be Worried If Your Team Isn’t Pushing Back
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.