Resources
Playbooks, guides, and best practices for AI-native E2E testing.
Can Intent-Based Test Execution Survive Component Library Migrations Without Code Changes?
Component library migrations are the kind of simple refactor that quietly rewrites your UI contract. You might keep the same routes, the same user flows, and the same product behavior, while swapping the underlying building blocks from Material UI to Chakra, Bootstrap to Tailwind UI, or a homegrown
Browser Recording Is Only Useful When the Output Is Meant to Be Rewritten
The worst thing the testing industry ever taught teams was that recording user clicks would save them from thinking.
Scheduling automated test runs at custom cron intervals
Pull request checks catch obvious breakage. They do not catch the slow drift that happens between merges: third-party outages, expired test data, flaky dependencies, performance regressions, and UI changes that land outside your team’s immediate line of sight.
Quality as Craft in the Agentic Era: The Values Behind Shiplight AI
AI has changed the unit economics of software delivery. When a coding agent can produce a working feature in minutes, the limiting factor is no longer “can we build it,” but “can we trust it.” That trust gap is not theoretical. Recent developer research shows how uneven and cautious adoption still i
Most AI Testing Purchases Fail for One Reason: They Ignore Who Actually Uses the System
Teams usually shop for AI testing as if they are buying one tool. They are not. They are buying a working arrangement between developers, product teams, QA, and release owners. That is why so many evaluations go sideways. A platform looks impressive in a demo, then stalls because the people who need
Recommendations for Running Targeted Subsets of Tests Before Production Deploys
Full regression suites are a luxury most teams cannot afford on every deploy. Even when you can run everything, you often should not. A long, noisy pipeline creates two failure modes that look different but feel the same in production: teams start merging because it’s probably fine, and real risk sl