Are all developers equally productive with AI? Not quite.
Bill Doerrfeld | January 20, 2026
My
latest on LeadDev covers a report that suggests AI tends to accelerate top performers
As it turns out, the engineers seeing the biggest gains from AI were top performers all along.
A new report from GitClear and GitKraken suggests that AI doesn't create great developers so much as it amplifies the senior engineers who already know how to use it effectively.
Today, I dig into the data and sync with Bill Harding on what the year-over-year metrics show, and why headline productivity gaps can be misleading.
This is my 3rd year in a row covering studies from GitClear and Harding on the state of AI in software engineering, and the results never fail to spark some interesting takeaways!
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Agentic coding tools have become the default. "When we've taken that away accidentally from people, they scream."
My latest for LeadDev considers how engineering leaders should respond in the wake of uncertainty in the AI model market.
I'm working with Zuplo on some new content around their MCP Gateway release. First up: a deep comparison of MCP gateways on the market!
The constant barrage of AI layoffs is overshadowing the economic reasons behind these cuts, as well as the net-positive talent redistribution happening at large.
My latest for InfoWorld reviews MCP servers and agent-ready tools for connecting AI agents with popular database styles.
For my latest DirectorPlus edition, Joel Carusone from NinjaOne shares how engineering leaders can build the muscle for making tough calls.
My latest InfoWorld feature explores how Model Context Protocol (MCP) supports context engineering for AI-assisted coding.
My latest for Nordic APIs explores 10 API key security risks and what to use alongside keys for stronger API security.
