Developer productivity has become one of the hardest topics for engineering leaders to measure well. The old signals are no longer enough. Commit volume, ticket counts, pull request totals, and lines ...

The chief executive of one of the world's largest enterprise software companies says human software development may soon ...

Measuring AI maturity by employee token consumption rewards activity over value, masking the need for genuine process ...

I've spent the last year pressing vendors on the problem of context. AI agents need more: they need real-time organization ...

Sivasubramanian’s core point is that agents aren’t a feature toggle but an architectural choice. The advantage goes to organizations that design for compounding momentum across work, security, ...

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At some point in that cycle, organizations start thinking about a code audit company, even if they don’t call it that ...

That’s what the new Engineering issue of MIT Technology Review is all about.  Sometimes the challenges we face are giant, ...

Highly talented engineers often want to make a meaningful impact, so organizations should communicate the unique problems ...

This is where hallucination is won or lost. Research on grounded summarization shows top-tier LLMs hallucinate as little as 0 ...

Some companies' push to maximize AI use is leaving some engineers fixing AI-generated code, fueling burnout and frustration, a VC partner said.

Microsoft’s CEO argues that the future of enterprise AI is not the model, it’s the learning loop. The most important idea in ...