Systems | Development | Analytics | API | Testing

The right electronic design automation (EDA) software can help semiconductor design teams meet tight time-to-market deadlines, lower costs, and avoid the immense cost of errors. Using EDA tools, you can: A recent Business Wire report anticipates that as the semiconductor industry grows more competitive and new chip technology emerges, the market for EDA tools will skyrocket to $22 billion in 2030.

Have you observed how many software projects often begin with enthusiasm but however time become stuck in endless planning, changing requirements, and delayed delivery?

A Product Requirements Document (PRD) articulates the purpose, features, and functionality of a product. It is a blueprint for development teams to understand: While the exhaustive PRDs of the past are less common in today's Agile landscape, their core function remains the same: to align all stakeholders so that everyone from product managers to developers and testers shares a common vision.

Integration testing is an essential part of development, ensuring applications can survive the rigors of deployment and function in the real world. Getting the most out of them is key. It’s about making sure you write meaningful tests that ensure your code works as expected. If you’re running integration tests in Python, you may appreciate better visibility and deeper insights into application errors.

Applications and systems using AI have exploded in popularity, with every company looking to integrate AI anywhere they can. This move toward AI-assisted and AI-powered products appears to be the future. However, early adoption is great, but gaps form quickly at scale. For example, in 2023 OWASP began to publish the OWASP Top 10 for LLM Applications (updated again in 2025), which outlined ten common security flaws found in LLM-based applications.