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Emerson’s latest NI Nigel AI enhancements aim to bring domain-specific intelligence into engineering workflows, helping engineering teams accelerate test development while maintain...
Software engineering leaders are increasingly being asked to build AI-powered applications and agents. AI engineering focuses on designing, developing, deploying, operating, and go...
Production-grade AI reliability requires more than uptime and latency. A layered eval system helps teams detect hallucinations, RAG failures and quality regressions before customer...
AI has moved very quickly from experimentation to production. A few years ago, many organizations were still asking whether AI could improve their products or internal workflows. T...
What happens when deterministic embedded workflows meet non-deterministic AI? The answer is reshaping automotive compliance faster than most realise. The application of artificial...
AI agents are quickly moving from demos into engineering workflows. For site reliability engineering teams, the appeal is obvious: an agent that can read alerts, inspect dashboards...
How AI UI testing boosts reliability and cuts maintenance: cloud-native intelligent testing, framework integration, and the limits of AI automation.
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Traditional testing methods fall short against the probabilistic nature of modern AI systems. This engineering playbook outlines the concrete validation checks, benchmarking tools,...
UL’s Prof Martin Hayes on his systems theory research, why ‘pi-shaped’ graduates are the future of engineering, and the importance of patience. Read more: Why AI systems need to be...
You are a software engineer. Your craft honed through years of careful practice. Then suddenly, there are these chatbots and agents. Overnight, your colleagues got a new title on L...
Traditional test automation frameworks often carry heavy maintenance costs, slow release cycles, and high knowledge dependency. By transitioning from standard script creation to a...
1. Why Most AI QA Tools Fail in Production The pattern is now familiar: a team integrates an LLM into their QA workflow, the demo impresses stakeholders, and three months later the...
Large language models have evolved from simple chat interfaces into autonomous systems capable of planning, reasoning, and interacting with external tools. The next stage of this e...
Over the past few years, artificial intelligence has evolved from a largely experimental research field into a fundamental part of modern software systems. Driving this change is a...
Every engineer I know is coding with AI now. Agents are writing a massive amount of code, and yet somehow nobody is shipping 5x more software. Teams got their 30% bump when AI codi...
Why AI Isn't Making Your Engineering Team Faster (And What High-Performing Organizations Do Differently) Most enterprises have already invested in Copilot, Claude Code, Cursor, an...
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