Top 7 Featured DEV Posts of the Week
Welcome to this week's Top 7, where the DEV editorial team handpicks their favorite posts from the previous week (Saturday-Friday).
Congrats to all the authors that made it onto the list 👏
@jasmin uses four GIFs to break down what actually happens when you make an LLM API call, from the raw request shape to token billing. It's a visual-first approach to understanding concepts that SDKs typically hide, covering everything from statelessness and stop reasons to why output tokens cost so much more than input ones.
@dannwaneri built a RAG-powered bot trained on 50,000 personal bookmarks and came away with a sharper, more skeptical understanding of what generative AI actually does under the hood. Seeing the retrieval logs up close reframed not just AI, but the nature of thinking itself.
@shubhradev shares four silent breaking changes encountered after upgrading to Next.js 16, none of which surfaced during a clean build or CI run. Each issue gets a before-and-after code fix and a checklist of what to verify before shipping an upgrade.
@viktor_koves makes the case that AI coding tools have lowered the floor for building software without raising the ceiling for shipping it responsibly. Real examples, from open-source pull requests to a company-wide database wipe, make the argument that velocity and production-readiness are not the same thing.
@dayvster takes a look at Bun's AI-assisted rewrite from Zig into Rust, pushing back on the narrative that this is a loss for Zig. Four detailed outcome scenarios build toward a conclusion that most of the discourse around this story has completely missed.
