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Notes from across our practices on the trends shaping AI, data, cloud, design, mobile and growth — and what they mean for the products you build.
Agents are the most talked-about idea in AI. Here is how to tell the ones that ship from the ones that stay in the demo.
LLM features don't fail like normal code. Evaluation suites are how teams keep them improving instead of quietly regressing.
Streaming used to be a specialist's tool. Change data capture, stream processing and open table formats are making it the normal way to move data.
Internal developer platforms turn every team's infrastructure chores into a shared, self-service product. Here is what makes one worth building.
GCCs began as a way to cut costs. Today the most successful ones own products, platforms and research. Here is what separates the two.
Colours, spacing and type as named decisions, shared by design and code. Tokens are how design systems scale across themes, brands and platforms.
With the European Accessibility Act in force and WCAG 2.2 raising the bar, accessible products are becoming a legal expectation as well as a good one.
A chat window is the easiest way to add AI to a product, and often not the best one. Patterns for AI features that fit the way people already work.
AI summaries at the top of search results and answer engines are changing how people discover products. What that means for SEO and content.
Web performance is no longer just about load time. Responsiveness to every interaction, smooth navigation and well-behaved motion now define how fast a site feels.
Flutter, React Native and Kotlin Multiplatform have all matured. The right choice depends less on the framework and more on your product and team.
When polished content costs almost nothing to make, looking polished stops being enough. Distinctive, consistent brands matter more, not less.
Most organisations have more dashboards than decisions. Designing around decisions, shared metric definitions and embedded analytics changes that.