Resources
Browse insights and updates from our blog.
From “It Works on My Machine” to Executable Intent: A Practical Playbook for AI-Native Quality
AI-assisted development has changed the shape of software delivery. Features ship faster, UI changes land more frequently, and pull requests get larger. The part that has not scaled nearly as well is confidence.
The E2E Coverage Ladder: How AI-Native Teams Build Regression Safety Without Living in Test Maintenance
AI coding agents have changed the economics of shipping. When implementation gets faster, two things happen immediately: the surface area of change expands, and the cost of missing regressions climbs. The bottleneck moves from “can we build it?” to “can we prove it works?”
The Hardest E2E Tests to Keep Stable: Auth and Email Flows (and a Practical Way to Fix That)
Login, onboarding, password resets, magic links, OTP codes, invite emails. These flows sit at the center of product activation and retention, but they are also the most painful to automate end to end.
Locators Are a Cache: The Mental Model for E2E Tests That Survive UI Change
End-to-end testing has a reputation problem. Not because E2E is the wrong level of validation, but because too many teams build E2E suites on a fragile foundation: selectors treated as truth.
Choosing Your Shiplight AI Starting Point: MCP Server, Shiplight Cloud, or the AI SDK?
AI is changing how software gets built. Teams are shipping more UI changes, more frequently, often with AI coding agents writing and iterating on code at a pace that traditional QA workflows were never designed to match.
The Practical Buyer’s Guide to AI-Native E2E Testing (and What Shiplight AI Gets Right)
Modern release velocity has broken the old QA contract.