Ever wondered what word sits perfectly between "sporty" and "practical"? Or perhaps "sweet" and "crunchy"? Midpoints is a new word game that gives you 10 chances to find the best match and scores you accordingly!

Turns out, you can organize your Convex project across multiple repositories! Check out this guide on how to implement this in your project.

With Convex's magic query cache, Convex's powerful subscriptions are cached, not merely values. So you get fast, jank-free renders with no cache consistency or invalidation headaches.

I was curious to see if I could prompt my way through developing an entire app with Cursor and Claude. It went pretty well - but there are some important caveats to keep in mind.

Implementing "work stealing" - a workload distribution strategy - using Convex's reactive database.

This year vector databases have sprung up like mushrooms to enable applications to retrieve context based on semantic search. A large portion of these applications have used the retrieved context to augment the ability of large language models (LLMs) in a pattern known as RAG. On November 7th OpenAI released its Assistants API, enabling the implementation of AI chat interfaces with context retrieval without needing a separate message store or vector database. Does this new API make vector databases obsolete?