When developers travel, we usually prepare the obvious things. Laptop charger. But there is one dependency that is easy to underestimate until it breaks: mobile internet. A trip to China makes this especially obvious. Not because China is hard to travel in, but because so many basic interactions are mobile-first: navigation, translation, ride-hailing, hotel communication, ticket confirmations, pay
The Hidden Cost of Calling AI Too Early I stopped calling AI on every request — and everything got better. In one of my projects, I was generating AI-based insights from user activity. The initial design was simple: Every request for today’s insight → call the AI model → return a fresh response. GET /api/insights/today At first, this felt clean and correct. But in practice, it created serious
A defaced website is a curious problem. It's loud — anyone visiting the page can see something is wrong. But it's also quiet from a server's perspective: HTTP returns 200, your uptime monitor is happy, your TLS cert hasn't moved, and the CMS logs show a "successful" content update from a legitimate-looking session. The signal is on the rendered page, not in the metrics. I run a site at hi3ris.blue
You just ran a dependency scan and the report shows 133 vulnerabilities. 34 are Critical. 68 are High. The dashboard is red, the backlog is exploding, and every item looks urgent. The engineering team asks the obvious question: where do we start? This is where vulnerability remediation prioritization matters. Without a clear framework, teams either panic and chase the loudest CVE, or they ignore t
We've been there. JSON Schema gets hard to write as soon as your payload is non-trivial. Conditional logic, cross-field rules, business invariants, and at some point we stop writing contracts at all. We go code-first, generate the schema from annotations, and end up with 200 lines very few understand, and error messages referencing paths like #/properties/items/allOf/0/then/Then that map to nothin
GitHub Copilot is more than just an AI coding assistant; it's a productivity superpower for many developers, promising to streamline workflows and accelerate delivery. Yet, as a recent GitHub Community discussion vividly illustrates, the path to actually subscribing to this powerful tool can sometimes be a frustrating maze of unexpected billing hurdles and unresponsive support. At devActivity, we
Metric Value Django Average Response Time 287ms Node.js Average Response Time 193ms Django Memory Usage (1000 users) 1.8GB We tested Django 4.2 and Node.js 18.16 under identical conditions to measure their performance for reporting dashboard workloads. The test environment consisted of AWS EC2 m5.2xlarge instances (8 vCPUs, 32GB RAM) running Ubuntu 22.04. Both frameworks connected to th
Java keeps evolving! Java 26 is out. The release brings many features aimed at optimizing Java applications and drops support for applets. We cover all of this and more below. Currently, Java ships a new version every six months. The last release was Java 25 in September 2025, so March 2026 meant it was time for Java 26. Java 25 was an LTS release; this version, however, isn't designed for long-t