Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

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

Discover the top 10 CI/CD tools of 2025 that enhance DevOps team efficiency, automating code building, testing, and deployment processes. Make informed decisions for your software development needs.

As more businesses incorporate AI agents into their operations, visibility and auditability around their usage is critical to building acceptance and trust. It’s increasingly apparent that the next ...

S2C, MachineWare, and Andes remain committed to advancing verification methodologies and providing scalable, efficient, and robust development tools for the RISC-V community. Together, the companies ...

Most of the new devices referenced in these leaks are straightforward updates to products that already exist: a new Apple TV, ...

I’ve always regarded debugging and troubleshooting as the most challenging of all hands-on engineering skills. It’s not ...

In the race to build increasingly autonomous AI agents, the community has focused heavily on improving agents’ capabilities ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real ...

🍲 ms-swift is an official framework provided by the ModelScope community for fine-tuning and deploying large language models and multi-modal large models. It currently supports the training ...

Square Enix unveiled a bold strategy that could have far-reaching implications for the games industry, as the Japanese publisher aims to use generative AI to automate 70% of game QA and debugging by ...