Systems | Development | Analytics | API | Testing

How to Test Your AI Apps and Features: A Comprehensive Guide for QA Leaders

Your CEO just announced the company’s AI-first strategy and the product team is shipping AI features faster than ever. Marketing is promising intelligent automation to customers, while the QA team is left wondering how to actually test this stuff. Every QA team is grappling with the same challenge as AI becomes the default solution for everything from customer service to content generation.

[Previous] Product Spotlight: AI is the new BI - Full Session

Welcome to a new era of analytics—where AI isn’t just a feature, it is BI. In this previous product spotlight, ThoughtSpot unveils six groundbreaking capabilities that let users move beyond dashboards to agentic analytics—asking questions and getting answers instantly. What you’ll see: If you’ve ever been frustrated with static dashboards, lagging insights, or endless analyst requests—you’ll want to watch this.

How to get the full potential of Xray with Xray Academy

Software teams today face increasing pressure to deliver high-quality applications at speed. Continuous testing, test automation, and traceability are no longer optional — they’re must-haves for scaling development. Tools like Xray provide the structure and visibility teams need, but their success ultimately depends on how effectively people use them. That’s where Xray Academy comes in.

MySQL Mocking with Speedscale's Proxymock: A Complete Guide

Testing database-driven applications is notoriously painful. If your app depends on MySQL, you’ve probably spent hours setting up local databases, running migrations, loading data, and then cleaning everything up just to rerun your tests. This repetitive cycle slows development, breaks pipelines, and introduces inconsistency between local and production environments.

Designing Your Virtual Test Team

As organizations explore more advanced uses of agentic testing, a compelling vision emerges: a modular virtual test team composed of AI agents, each playing a focused role like Test Architect, Test Designer, Executor, and Summary Agent. While still early in real-world adoption, this model offers a way to coordinate intelligence at scale, with humans guiding the system and autonomy granted based on task risk and maturity.

Metrics That Matter for Agentic Testing

Traditional test metrics like automation %, pass/fail rates, and defect counts don’t reflect the impact of introducing agents into the QA process. This blog explores a new class of KPIs designed to measure how well your virtual test team is performing including Agent Assist Rate, Human Override Rate, Scenario Coverage Delta, and Review Time Saved.

Ready or Not, Here Comes CI/CD: Build Systems for an Indie Sensation

In this episode, Stephen Post, Technical Director at VOID Interactive, joins Jase for a deep dive into the technical evolution of Ready or Not, the acclaimed tactical shooter game. Stephen discusses the complexities of expanding their fully remote, globally distributed studio—from a small team of 9 to more than 75—covering key challenges such as: Whether you're a solo developer, technical lead, or project manager, this episode offers a candid and practical look at what it takes to scale a game—and a studio—without compromising on quality or agility.

Fueling the AI Future: Data, Deployment, and Tangible Outcomes with Patrick Moorhead

The future will not be decided by who experiments with AI first, but by who can operationalize it at scale - turning messy, fragmented data into trusted insights, deploying models seamlessly across hybrid environments, and delivering measurable business outcomes. To discuss, we’re joined by Patrick Moorhead, Founder, CEO and Chief Analyst at Moor Insights & Strategy.