Resources
Playbooks, guides, and best practices for AI-native E2E testing.
How to Add Automated Testing to Cursor, Copilot, and Codex
A practical guide to adding AI-powered QA testing to your Cursor, GitHub Copilot, and OpenAI Codex workflows. Stop shipping untested AI-generated code.
What Is Agent-First Development? A Guide for Engineering Teams in 2026
Agent-first development is a paradigm where AI agents are primary actors in the software development lifecycle — writing code, verifying changes, and maintaining quality. Learn what it means, how it differs from AI-assisted development, and what your QA stack needs to support it.
Agent-Native Autonomous QA: The New Paradigm for Software Quality in 2026
Agent-native autonomous QA is quality assurance that AI coding agents can call directly — and that runs, heals, and maintains itself without human intervention. Here's what it is, why it matters, and what a complete implementation looks like.
Agentic QA Testing: The Solution for Autonomous Software Test Automation
Agentic QA testing is the solution for teams that need autonomous software test automation — AI that plans, generates, executes, and maintains tests without manual scripting or QA handoffs. Here's how it works and how Shiplight delivers it.
AI-Generated Code Has 1.7x More Bugs — Here's the Fix
Studies show AI-written code produces 1.7x more issues, 75% more logic errors, and up to 2.7x more security vulnerabilities. But some teams ship AI-generated code with fewer bugs than before. Here's how.
AI Testing Tools That Automatically Generate Test Cases (2026)
A practical comparison of AI testing tools that automatically generate test cases from natural language, user stories, session recordings, or live app exploration — no manual scripting required.