Every few years the industry rediscovers that programming languages are not religions. Then we immediately behave like they are religions. Someone posts a benchmark. Someone else says memory safety. Someone says developer experience. A distributed systems person appears from under a bridge and whispers “Erlang solved this in 1998.” A startup founder announces they are rewriting their CRUD app in R
AI. It's the buzzword on everyone's lips, the technology promising to revolutionize… well, everything. And, predictably, it's met with a healthy dose of skepticism, if not outright disdain. "It's unreliable," some say. "It hallucinates," others lament. "It's a crutch for those who don't understand the real work." Sound familiar? It should. Because this isn't the first time humanity has grappled wi
Every AI app I've shipped recently rewrote the same plumbing. The OAuth dance for Slack. Encrypted storage for an API key. Refresh-token logic that finally fails on the 3rd call after an hour. Wiring up an MCP client to a server behind a bearer token someone pasted into a Notion page.
Opinion: We Ditched All Third-Party Mobile SDKs – Cut App Startup Time by 30% for iOS 18 When iOS 18 launched, our team braced for the usual post-release performance tweaks. Instead, we hit a wall: our flagship app’s cold startup time had crept up to 2.8 seconds, well above Apple’s recommended 1.5-second threshold for optimal user retention. After months of debugging, we made a radical call: rem