Founder-friendly, team-ready
QA systems, amplified with LLMs.
Imagineers helps product and QA teams build reliable test automation without slowing product velocity. We use LLMs to improve coverage, cut maintenance, and reduce regressions, and publish what we learn in public.
More from the blog
View allComponents-as-Docs: A Practical Pattern for AI-Generated E2E Tests
Structured ARIA labels and component docs give AI coding agents everything they need to generate deterministic Playwright tests -- no vision models required.
11 min read
LLM Test Automation - Code for Scale, Vision for Edge Cases
Why code generation beats visual agents for scalable test automation, and how to strategically use computer vision for edge cases where the DOM is inaccessible.
6 min read
Context Engineering for Test Automation
A 10-part series translating Google’s Context Engineering whitepaper into hands-on QA practice. Each post builds a working tool.
Frontier models ship faster than teams can adapt. This series is how we keep up—and help you do the same.
Foundations
Posts 1–3
What is Context Engineering and why should QA teams care?
Building QA Memory Systems
Posts 4–7
Hands-on builds: from test failure memory to self-healing tests
Scaling & Operating
Posts 8–10
Making it production-ready: multi-agent, monitoring, massive scale
LLM-augmented QA consulting
We help teams build QA systems that keep pace with product. We are especially useful when speed is high and quality needs to stay steady. Engagements are short, focused, and hands-on, with clear outcomes you can ship.
LLM test design
Turn product specs into robust, reviewable tests.
Automation architecture
Build reliable pipelines that scale with your product.
QA practice upgrades
Update playbooks, coverage plans, and quality signals.
Enablement & training
Workshops for QA and engineering teams on LLM workflows.
Start a conversation
Share where QA is breaking down and what you need LLMs to unlock. We will respond within a few days if it looks like a fit.