An agentic AI-based approach to end-to-end bug resolution using both error logs and waveforms.

Also, do they really understand the work or just blindly accept it because “AI said so”? That’s my worry, and that’s what I hope to clarify in my article today with real-world practical examples.

Explore the top 7 API automation testing tools for software developers in 2025, their features, strengths, pricing, and how they enhance API reliability and performance.

How Calibre nmDRC Recon enables early-stage, shift-left verification to reduce IC design runtimes and hardware requirements. How localized checks streamline debugging and accelerate design iterations.

A camera pointed at children on a swing set in California was one of 67 cameras found publicly livestreaming on the internet, ...

Malicious npm package posing as a WhatsApp Web API library operated for months as a functional dependency while stealing ...

Perhaps the biggest find is in the third DLC, Old World Blues, which has significant differences from the release version, ...

For most of its life inside the enterprise, Salesforce was treated as "just" a critical application, a powerful CRM that needed strong profiles, roles, ...

Overview: DevOps mastery ensures faster, reliable software delivery while reducing production incidents and governance challenges.Courses like Terraform and Kub ...

VIA Labs' industrial-grade USB 2.0 hub controllers are engineered for stable and reliable operation in extended-temperature ...

In his research, Melin applies AI and data science techniques to analyze scientific software, managing technical debt to ...

Terminals can be tricky to use. For example Ctrl+c is not copy. If you press this it will abort the current task and can stop the app from working. It's fixable, it's just annoying and a force of ...