Systems | Development | Analytics | API | Testing

Intellectual property (IP) in semiconductor design refers to reusable design components that can be integrated into a larger chipan IC, SoC, or chiplet. These design blocks may be developed in-house or licensed from third-party vendors and are used in system-on-chip (SoC) design and production. With growing SoC complexity, increased market demand, and the rapid pace of innovation, adopting an IP-centric design approach is critical for staying competitive.

For many organizations, achieving effective dashboard design is a recurring problem. Simply put, a lot of effort is likely going into creating dashboards your intended audience don’t even look at. However, it's a problem that can be easily remedied following a few core principles.

Multiplayer is the only session recorder that combines frontend replays with unsampled backend traces, stitched together automatically. You don’t have to choose between drowning in noise or missing the critical data. Backend tracing is the backbone of understanding how modern distributed systems behave. Each request generates a chain of spans as it travels through your services and components: what happened, how long it took, and whether it failed.

One of the problems development teams experience is that when they build applications, they are unable to scale them or handle maintenance and that leads to technical debt and maintenance nightmares. Eventually, the very thing that is software architecture becomes necessary once an organization needs systems to continue to evolve, scale, and change because of the needs of the business.

Turn a debugging session into a reproducible test script. It’s like getting a unit test written by the bug itself. Minus the guesswork, setup, and manual scripting. With one click, Multiplayer now turns debugging sessions into test scripts that capture.

In design, time has always been more than just a resource — it’s a key metric of competitiveness, and today, it matters more than ever. With generative AI accelerating every phase of product development, the stakes are rising fast, triggering a sharp rise in demand for AI-driven design tools. According to Precedence Research, the global generative AI in design market is projected to grow from $741.11 million in 2024 to over $13.9 billion by 2034, expanding at a CAGR of 34.11%.

Business intelligence (BI) and analytics projects depend on efficient and effective data integration, which in turn depends on processes such as ETL (extract, transform, load). Rather than performing data analysis from multiple sources in place, ETL collects information within a centralized data warehouse for faster and easier processing and querying.

If you're like most business owners, you probably think about redesigning your website regularly. After all, a website is often the first impression potential customers have of your business so it needs to be professional and up to date. But, when it comes to website design, there are numerous factors to consider. In addition to layout, navigation, and color scheme, there are a million other details that make up an appealing and effective website.

AI is everywhere. Depending on who you ask, it’s either making developers obsolete, or it’s just hype. But for those of us who’ve actually used AI tools in real-world engineering workflows, especially in complex distributed systems, the truth lies somewhere in between. At Multiplayer, we’ve spent the past few years exploring how AI can—and can’t—help solve two of the most persistent challenges in distributed systems: documentation and debugging.

Launching a successful website goes far beyond designing an aesthetically pleasing interface. The path from concept to conversion must be strategically planned to meet both user needs and business objectives. At the very beginning of that path lies a critical stage: the website mockup. A website mockup is not just a visual preview; it is the canvas on which structure, usability, and brand messaging take shape.