AI has moved into everyday development work (and everything else). It reduces manual steps, shortens review cycles and helps teams keep up with frequent updates. Knowing how to use AI to automate tasks is becoming a basic part of building and maintaining software. Developers handle new features, bugs, test updates and deployment steps, so AI […]
How Intelligent Process Automation Works Intelligent process automation brings together automation and AI to handle tasks that used to require hours of manual effort. For software developers and QA teams, this shift helps reduce bottlenecks, clean up workflows and improve release stability. It is now common in digital products, support tools, cloud infrastructure and internal […]
What Is a Prompt in Generative AI? Let’s start with the basics. A prompt is the text or input that tells a generative AI model what to produce. Essentially, it’s the instruction that tells the AI what you need it to do. The model uses that input to create an answer, generate code, summarize content […]
Modern applications evolve quickly, and teams often struggle to maintain coverage across so many changes. Manual testing creates bottlenecks, especially when releases are frequent and workflows are complex.
AI is now embedded across modern eCommerce platforms, from search and recommendations to pricing and customer support. For development and QA teams, this creates a different challenge: not understanding what these systems do, but reliably building, testing, and maintaining them as they change. AI-driven features introduce dynamic behaviour that is harder to predict and harder […]
No-code end-to-end testing tools let QA teams build recorder-based and model-based tests without writing scripts. Recorder flows capture real user actions quickly, while model-based tests provide reusable, scalable coverage for regression and CI/CD pipelines.
Estimated Reading Time: 8 minutes Featured Snippet No-code funnel testing lets growth teams optimize pricing pages, trials, and paywalls without engineering support. Using visual A/B tests, Stripe checkout validation, and pixel QA, teams identify friction points, measure attribution accuracy, and scale experiments that drive higher conversions and predictable revenue growth. TL;DR What Is No-Code Conversion […]