Systems | Development | Analytics | API | Testing

Performance budgets deliver value when tied to user-focused metrics such as Time to Interactive and First Contentful Paint. For most mobile experiences, aiming for a Time to Interactive under five seconds helps reduce bounce rates and keeps users engaged.

AI agents that forget their context are just expensive chatbots. The difference between intelligent agents and simple assistants comes down to memory architecture, specifically how well your system tracks relationships, maintains temporal context, and reasons over evolving information. Graph databases have moved from niche infrastructure to essential AI components, with GraphRAG implementations showing 80% improvements in agent truthfulness and significant accuracy gains over vector-only approaches.

For a real estate platform, a new market can introduce different source systems, property attributes, identifiers, business rules, geographic structures, and reporting requirements, each of which enters the platform somewhere. The engineering question is where those differences land in the existing platform, and whether the current data model, integrations, search, workflows, and analytics can absorb them without a second architecture forming alongside the first.

If you’ve ever written JavaScript, you’ve never had to write code that says “delete this object, I’m done with it.” That’s because there’s a process called garbage collection running in the background to save you the hassle. Most of the time this process works smoothly and invisibly. But it can also cause an app to suddenly start stuttering for no obvious reason if you don’t manage it effectively. This post will give you the tools to do just that.

Google Research’s TimesFM 3.0 is a 330-million parameter foundation model that unlocks native multivariate time-series forecasting in BigQuery SQL.

Your frontend is ready, but the backend endpoint it depends on ships next sprint. Your QA team wants to test a payment flow, but the third party sandbox is down again. Your CI pipeline fails twice a week because a staging database returned different data. All three problems have the same fix: an API mocking tool. API mocking tools let you simulate an API, or any dependency your service talks to, so you can build and test without waiting on the real thing. The hard part is picking one.