On-call was built on a false assumption: that humans are the fastest way to interpret failure. That assumption collapsed the ...

Abstract: The growing complexity of modern automated production systems demands solutions for managing alarm floods potentially stemming from multi-root causes, while improving situational awareness ...

Caleb John (left), an investor with Pioneer Square Labs, and Lucas Dickey, a longtime entrepreneur, helped host the Claude Code Meetup in Seattle on Thursday. (GeekWire Photos / Taylor Soper) Claude ...

Over 50% of frontend ASIC hardware engineering time is spent on debugging and root cause analysis, spent churning through millions of lines of code and terabytes of waveform data. Despite this, there ...

Letting AI churn out an endless supply of crappy code that humans then have to debug and maintain doesn’t move anybody’s business forward. There is a persistent, dangerous myth in software development ...

The semiconductor industry is undergoing a profound transformation. What once centered on single-die silicon packaged in QFN or BGA formats has evolved into a landscape of multi-die integration, ...

As software systems grow more complex and AI tools generate code faster than ever, a fundamental problem is getting worse: Engineers are drowning in debugging work, spending up to half their time ...

Building Tax Capacity for Growth and Development: Evidence-Based Analysis for Mobilizing Domestic Revenue By Katherine Baer, Matthieu Bellon, Matt Davies, Ruud de Mooij, Vitor Gaspar, Andrea Lemgruber ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Root-cause analysis is core to problem-solving across many fields. From hospitals searching for patient safety issues to engineers diagnosing faults in complex machinery, finding the source of a ...