Systems | Development | Analytics | API | Testing

AI for UX design: 5 best practices for product designers

AI is no longer a fringe experiment: it’s a mainstream mandate. But with that shift comes a new kind of pressure: to act quickly, to appear modern, to bolt on something “intelligent” before someone else does. For many teams, this leads to reactive choices. Features get prioritized because they sound impressive, not because they solve a real user problem. Familiar interfaces get copied instead of questioned.

Why Design IP Is Important: IP Integration in SoCs

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.

10 Key Dashboard Design Principles: Analytics Best Practice

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.

Don't lose the trace that matters: Multiplayer's zero-sampling approach

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.

What Is Software Architecture Guide: Build Robust Systems

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.

Redefining Product Design: How AI Transforms Workflow, Speed, and Execution

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%.

The 6 Building Blocks of ETL Architecture

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.