Agile teams have leaned on user stories for two decades because they keep everyone aligned on why a feature exists—not just how it’s implemented. The classic pattern, popularized in the early 2000s—“As a [role], I want [goal] so that [benefit]”—emerged alongside practices like “card, conversation, confirmation.” It let…
Next.js moved from a “React meta-framework” to the default production stack for teams that need server-side rendering (SSR), static generation, and API routes without duct tape. As adoption spread from startups to enterprises, compensation followed the same curve—peaking during the remote hiring surge, softening in 2023–24, and then…
Back when static site generators (SSGs) like Jekyll were dominant, the mental model was simple: build once, deploy, serve forever. But that model crests in difficulty when your content changes often or your site scales. You either schedule frequent rebuilds (which get slow) or shift to more dynamic…
In the early days of the web, browsers primarily fetched full HTML pages from servers and rendered them. Interactivity was limited: a click meant a full page reload (or small updates via early AJAX). Over time, as single-page applications (SPAs) became feasible and JavaScript engines improved, developers began…
Long before the Single Page Application (SPA) era, nearly all web pages were server-side rendered: the server would accept a request, run code (PHP, Ruby, Java, Python, etc.), fetch data, generate HTML, and send it out. In essence, SSR is one of the original models of the web.…
In the early web, nearly every site was static: hand-written HTML, CSS, maybe a little JavaScript. Over time, the demand for dynamic content (user dashboards, content management systems, comments, etc.) led to server-side rendering (SSR) paradigms, with CGI, PHP, Ruby on Rails, JSP, ASP, and so on. Then…
You’ve watched generative AI rush into classrooms since late 2022, when ChatGPT vaulted from research to mainstream and reshaped how novices approach code. Educators have wrestled with a split picture: meta-analyses and systematic reviews often find small-to-moderate gains when AI is scaffolded into instruction, especially for debugging and…
In 2021, GitHub launched Copilot as an AI pair programmer embedded in editors (e.g. VS Code), powered initially by OpenAI’s Codex. Over time, Copilot evolved to support multi-model strategies and an “agent” mode—giving it more autonomy in workflows. With today’s announcement, Copilot is stepping out of the editor…
In recent years, the “static site” paradigm (pre-rendering most pages at build time) has matured: frameworks now let you combine static pages with dynamic behaviors where needed. Next.js—once mainly for server-rendered React apps—now supports full static exports. Astro is a newer entrant built specifically around minimal client-side JavaScript…
You probably know Guillermo Rauch as the person behind Next.js, but his arc starts earlier. Born in Lanús, Buenos Aires, he cut his teeth on Linux and JavaScript in his teens, joined the MooTools core team, and moved to San Francisco as a young engineer. In the Node.js…
Search APIs have historically been built for human eyeballs rather than AI systems. They returned pages, not the specific snippets your model needs; they were slow when scraped from third-party engines; and they went stale quickly. Perplexity claims to have rebuilt the stack for AI: a large, frequently…
Ollama started as a fast way to run open models locally. In 2025 it shifted from a model runner to a research-capable platform by shipping a new engine, multimodal support, and now a first-party Web Search and Web Fetch API. The move matters: you can let an LLM…
