Systems | Development | Analytics | API | Testing

Why Vibe Coding Requires a Curated Experience Backed by Enterprise Governance

Everyone is talking about vibe coding—Claude Code, MCP, custom CLIs—using LLMs to turn intent into working logic. It’s fast. And if you aren’t leaning into it, you’re already behind. At Appian, we meet developers where they are. But speed alone doesn’t define success, and there’s a massive difference between a good workflow and a better one. Locking developers into one way of doing things is a losing strategy. That’s why we are releasing MCP and CLI tools.

Complete guide to understanding vision AI for object recognition | TestComplete

Testing complex UI elements like CAD software, Google Maps, or Citrix environments often leads to brittle tests and false negatives. Vision AI solves these automated testing challenges by recognizing elements just like a human would, reducing manual testing efforts, and improving accuracy. Discover how vision AI strengthens automated testing for visually complex applications. This tutorial shows you how to enhance object recognition in SmartBear TestComplete and eliminate test failures caused by 3D applications, canvas-based apps, and virtualized environments.

Agentic Testing and QA: A 90-Day Playwright Learning Roadmap

A 90-day Agentic Testing and QA roadmap is a structured learning plan that combines daily JavaScript and TypeScript practice with hands-on Playwright automation and AI-assisted testing skills. It is built around three 30-day phases — language fundamentals, Playwright fundamentals, and advanced framework plus AI-oriented work — and assumes about one hour of practice per day.

Why Xray's AI Test Model Generation is Key to Scalable DevOps Quality

DevOps has transformed how quickly software can be delivered, but speed alone does not guarantee resilience. As organizations scale, their systems become increasingly interconnected, with more services, more dependencies, and more edge cases that must be considered in every release. What once felt manageable with a handful of regression tests can quickly become opaque when dozens of teams are contributing to the same ecosystem1.

OpenAPI Schema Validation for AI

Schema validation ensures AI agents interact with APIs accurately by enforcing strict rules for requests and responses. OpenAPI provides a clear, machine-readable contract for APIs, reducing errors and improving reliability. This approach eliminates issues like ambiguous responses or schema drift, ensuring predictable behavior and secure data access.

Questions to Ask AI About Your Sales Pipeline and CRM Data

The right question returns a deal name, an owner, and a dollar value. The wrong one returns a framework about pipeline health. The difference is not the model, it’s how you ask. It’s 7:47am Monday. Your pipeline review starts at 8. You have thirteen minutes to find out which deals need attention, which reps are behind pace, and whether you’re actually going to hit the number this quarter.