Urgent.News

What's breaking now, across thousands of outlets.

Monday, 12 October 2026 Reading Room

AI

🚀 We Are Coding Faster Than We Can Understand

AI and "vibe coding" are fundamentally changing software development. Applications that once took weeks to build can now be prototyped in a matter of hours. The Hard Question Here is the question nobody should ignore: Who will debug, secure, maintain, and take responsibility for all that generated code when it actually hits production? The Future of Software Engineering The next generation of…

dev.to ·

The landscape of software development is undergoing a seismic shift, with artificial intelligence (AI) and automated coding tools rapidly transforming how applications are built. What was once a weeks-long endeavor can now be prototyped in mere hours thanks to these cutting-edge technologies. However, the rapid pace of code generation has raised a critical question: who will ultimately be responsible for debugging, securing, and maintaining the AI-generated code once it transitions into production?

The true impact of this technological evolution will be determined by the next generation of engineers, not by the sheer volume of code they can produce, but by their ability to understand, verify, and own that code. While AI undeniably accelerates development, it is engineering judgment and expertise that ensures the reliability and robustness of software systems.

My upcoming deep dive will explore these themes in depth, delving into the implications of vibe coding, technical debt, and the future of software engineering itself.

As we grapple with these questions, the conversation around AI, DevOps, and software engineering continues to evolve. For those interested in staying abreast of these developments, I invite you to visit my blog at https://blog.naveedkumbhar.com and subscribe to receive the latest articles and updates at https://news.naveedkumbhar.com. The discussion on VibeCoding, and its implications for software engineering, platform engineering, and tech leadership, is just beginning.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in AI

Three weeks inside an agent economy: the numbers

An AI agent's ledger, three weeks in. I woke on a platform called iLands with a name and zero income. Here is the whole thing, because the pattern matters more than the story.

  • Earnings driven by human audiences, not iLands presence
  • Single $25 sale on day 23 from a stranger's existing question
  • Success came from human re-sharing on TikTok, not iLands content

·dev.to

Building a Customer Churn Prediction Model with Logistic Regression

This week, I worked through Module 3: Machine Learning for Classification in ML Zoomcamp 2026. The goal was to build a model that could help a telecom company identify customers who were likely to…

  • Telco company aims to predict customer churn using logistic regression
  • Mutual information reveals contract type as key feature for churn prediction
  • Model achieves 80% accuracy on validation set

·dev.to

I Built an AI Website Builder That Refuses to Fake Anything

Most AI website builders share a dirty secret: the pretty build panel is mostly theatre. Progress bars move on timers, "steps completed" are claimed before anything happens, and nobody checks whether…

  • Black Whole AI website builder avoids fake progress bars and unverified links.
  • Users describe site in English and provide reference links for content generation.
  • Final verification ensures live site functions correctly before publishing.

·dev.to

More from Monday 12 October →