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The Return of a Bad Engineering Metric: When AI Token Usage Becomes Performance Theater
Measuring developer productivity by AI token consumption risks higher costs, bloated code and misleading performance metrics.
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8 articles

AI
Amazon has issued new guidelines for its software engineers that discourage excessive use of AI tools simply to boost productivity metrics, signaling a shift in how the company evaluates AI’s contribution to software development.…
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Blogs
Measuring developer productivity by AI token consumption risks higher costs, bloated code and misleading performance metrics.
AI
Developer resistance to AI is less about job loss than a deeper shift from hands-on coding to supervising, validating and orchestrating AI-generated work.
Blogs
I’ve lived through five major technology shifts: mainframe to Windows in the early ‘90s, internet computing in the late ‘90s and early 2000s, Agile in the mid-2000s, cloud through…
AI
Real AI gains don’t come from hype or pilots. They come from teams with strong teaching, mentoring and engineering culture already in place.
AI
We’re living through the AI revolution — or more accurately, the age of augmented intelligence. From agentic AI tools transforming software development to AI-native education shapi…
Blogs
A survey of 504 DevOps professionals published today finds that 20% are now using artificial intelligence (AI) across all phases of the software development lifecycle (SDLC).
Blogs
A survey of 406 developers, software engineers, CTOs, CISOs and application security professionals finds that while the majority of respondents (80%) said their organization is rea…