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Introduction You’ve already done the hard part. You used an AI app builder like Bolt.new or v0 by Vercel to build something real. A working dashboard. A customer portal. Maybe even a full SaaS MVP. But now you’re stuck. Your AI apps look great on the surface, but they won’t talk to your existing systems. […]
Integrating AI Apps Into Legacy Systems: Why US Clients Keep Coming Back Read More »
The way we test software is changing — and it’s changing fast. Over the past couple of years, AI has moved from a buzzword in QA discussions to something teams are actively building into their workflows. If you’re working in software quality or engineering, understanding these shifts isn’t optional anymore. It’s part of staying effective.
Top 10 AI Innovations Driving Quality Assurance Read More »
A few weeks ago, I started exploring how AI could support backend automation testing using Antigravity. My goal was simple—reduce the effort involved in writing, maintaining, and scaling API tests while improving overall efficiency. I began by experimenting with backend test execution using REST Assured, with Antigravity assisting me in generating and structuring test logic.
From Exploration to Application: My Journey Building an AI-Assisted API Testing Tool Read More »
Introduction Production bugs are expensive—but the real cost isn’t just fixing them. It’s lost revenue, damaged trust, and engineering time spent firefighting instead of building. According to IBM’s Cost of a Data Breach Report (2023), issues caught in production can cost up to 15x more than those identified during development. The uncomfortable truth? Traditional debugging
AI Debugging in ADLC: Catching Production Bugs Before They Exist Read More »
Introduction Most software failures don’t happen during deployment—they begin with poor requirements. Recent industry insights show that only around 30–40% of software projects fully succeed, while the majority face delays, cost overruns, or scope issues. Unclear, incomplete, or constantly evolving requirements remain one of the leading causes behind these failures. If you’re a CTO or
ADLC vs Traditional SDLC: How AI Changes Requirement Gathering From Day One Read More »
“AI is going to make our teams write code 10x faster?” At this point, every engineering leader has heard it and many are already seeing it happen. But in real conversations, the excitement quickly turns into a different question: Are we actually in control of what we are shipping? Because while AI has dramatically increased
AI Won’t Kill Your Business -Bad Governance Will. Read More »
Introduction: Automation testing promises speed and reliability, but writing and maintaining scripts manually is time-consuming. Engineers often spend hours creating XPath selectors, building Page Object classes, and fixing flaky waits. Antigravity, an AI-powered coding assistant built on Google DeepMind’s agentic technology, aims to simplify this process. We tested it in a real Selenium + Cucumber
AI-Powered Antigravity: Accelerating Selenium + Cucumber Automation Read More »
