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Bun includes native image transformations, and Prisma Compute runs on Bun. Build image resize and format routes as ordinary app requests instead of paying for a separate image transformation service.
Prisma Compute now reads a typed TypeScript config file, so deploys are reproducible and monorepos work: declare one app or several, then ship the whole system with one command.
We will deprecate Opus 4.6 (fast) across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions), on June 29th, 2026: Model Deprecation date… The post Upcoming deprecation of Opus 4.6 (fast) appeared first on The GitHub Blog.
I've built a few local directory sites lately - the "best X in town" kind of thing - and I kept reaching for the same stack: Astro for the frontend, Airtable as the CMS, Cloudflare to host it. After the third one I realised the architecture was the interesting part, not any individual site. So this is a writeup of how the pieces fit together, the decisions that actually mattered, and the two or three gotchas that cost me an afternoon each. If you're building anything that's mostly structured, re
How to split a monthly contribution across several assets to pull a portfolio back toward its targets — without selling anything or paying taxes. Every long-term investor hits the same wall: you set a target allocation (say 40% stocks, 25% fixed income, 20% REITs, 15% international), the market moves, and three months later your portfolio is lopsided. The classic advice is to rebalance by selling what went up and buying what went down. The problem: selling triggers taxes, brokerage fees, and — h
Choosing between Vultr and DigitalOcean? You’re not alone. If you’re comparing cloud hosting providers right before launching an app, moving a WordPress site, or spinning up a VPS for client work, this Digitalocean vs Vultr: Winner Revealed in 2026 guide is built for that exact decision point. I’ve used both platforms for small production workloads, test environments, and quick deployments where pricing, server responsiveness, and dashboard friction actually mattered. The short version: both are
Most error messages are written for the wrong reader. They're written for the person who's watching when the thing breaks. You're at the terminal, the run fails, the message says connection refused or validation failed at step 3, and that's enough, because you have all the context in your head right now. You know what you were doing, what you changed, what the system was supposed to do. The message just has to jog a memory you already have. The reader who actually needs the error state is someon
Everyone is talking about how AI is helping junior developers write code they couldn't write before. That's true. But there's a less-told story: what happens when a senior developer picks up these tools. The leverage is completely different — and I didn't fully understand that until I was six months deep into it. Here's how my working relationship with AI actually evolved, from tentative experiments to the workflow I rely on today. I started where most developers start: GitHub Copilot inside VSC
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