Dev Output Doubled. Your Quality Team Didn't. Now What?
Four ways engineering leaders can grow quality engineering capacity so verification keeps pace with AI-accelerated development.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Access Your Crash Data Directly from Your Coding Agent
Ask your coding agent about production crashes without leaving the editor.
The Compliance Cost of Unverified AI Code in Financial Services
AI now writes a growing share of your code, and examiners expect the same proof of testing no matter who wrote it. Here is what the verification gap costs a regulated institution once it surfaces in an audit.
Real Device Access API Comes to Public Devices: Break the Framework Constraints
AI agents can write and run tests faster than most frameworks can keep up. Direct control of shared real devices allows these agents to recover when unexpected issues arise during testing.
Hot Sauce Releases - Virtual Device Cloud
Hot Sauce Releases: What's New in Virtual Device Cloud Emulators give you speed and scale. Real devices give you physical accuracy. The smart move isn't choosing one. It's using virtual devices for broad automated coverage and real devices for the final layer of validation. In this edition of Hot Sauce Releases, Carlos Carvajal (Sr. Product Marketing Manager) and Nick Saunders (Sr. Product Manager) walk through what's new in Sauce Labs Virtual Device Cloud.
Emulators vs. Simulators vs. Real Devices: How to Allocate Mobile Tests
Why the real device versus virtual device debate is the wrong frame for engineering leaders and what the right one looks like.
Signal Over Noise: Building an AI Workflow That Scales
Generating code has never been cheaper. Validating it is where teams are losing the most time, and every handoff between tools makes it worse.
Why AI Made Your Release Problem Worse, Not Better
More code hasn't meant faster releases. With AI accelerating code generation, verification has become the bottleneck.
Signal Over Noise: Building an Intentional Al Workflow That Scales
AI writes code faster than any team can check it. Diego Molina thought he had a tooling problem. He didn't. In 37 minutes he shows the workflow mistake most engineering teams are making right now, the one bottleneck that decides whether AI speeds you up or buries you, and the principles that drive his own workflow scale without the noise. Chapters Learn more at saucelabs.com.
Real Device Testing and AI Test Authoring in Your IDE
Browse real devices, stream logs, run Appium tests, and generate test code with AI, all from inside the editor your team already works in.