Deep dives into engineering, design, AI, and the strategies shaping the next decade of digital product development. Written by the team building it every day.
Large language models have moved beyond code completion tools. They are now first-class participants in the software development lifecycle — from architecture design to automated testing. Here is what engineering teams need to know to stay ahead.
Google has introduced Interaction to Next Paint as a stable Core Web Vital, and the bar keeps rising. We analyzed data from 5,000+ websites to identify the patterns that consistently produce top-tier performance scores across all devices.
As AI agents become the primary consumers of interfaces, design systems must evolve beyond pixels and components. We explore how semantic design tokens, intent-driven layouts, and machine-readable interaction patterns are defining the next generation of UI architecture.
Moving compute to the edge sounds great in theory. In practice, it introduces a unique set of challenges around state management, observability, and deployment rollouts. Here is what we learned running edge workloads at truly massive scale.
The pendulum is swinging back. After a decade of microservices orthodoxy, we are seeing a quiet but decisive shift toward modular monoliths and well-scoped service boundaries. Here is how to decide what is right for your team.
Generative AI interfaces introduce entirely new accessibility challenges — non-deterministic outputs, streaming text, and complex interaction models. We share a practical framework for designing AI products that work for everyone.
Not all technical debt is bad. The key is distinguishing between strategic debt that accelerates time-to-market and corrosive debt that compounds silently. A practical framework for making those calls with confidence.
The software supply chain remains the soft underbelly of modern development. Recent high-profile attacks on popular npm and PyPI packages reveal patterns every engineering team should be watching for — and the tooling to defend against them.
Multi-region deployment is not just about spinning up instances in new data centers. It requires rethinking your data model, caching strategy, and observability stack. Here is the playbook we used to expand from one region to fifty.
Alexandra Hayes
Founder & CEO
Stay in the Loop
Never Miss an Insight
Join 12,000+ engineering leaders and designers who receive our weekly newsletter. Deep dives on AI, architecture, design systems, and scaling — no spam, ever.
