Featured·Mar 11, 2026
Context Engineering: The Missing Layer in Your LLM Test Strategy
Better prompts plateau. Context engineering breaks through by assembling the right information into every LLM test generation call.
All Posts
Agentic Memory for CI: When Your Pipeline Remembers
Running Playwright tests with an LLM gives you per-run analytics. But how do you track patterns across runs and build a full test analytics platform with LLMs?
Feb 18, 2026
Your CI Already Knows What Broke. Let AI Tell You.
16 test failures. 2 root causes. $0.05. Your CI already knows what broke. This workflow makes it tell you.
Feb 10, 2026
Components-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.
Feb 8, 2026
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.
Jan 1, 2026
Upcoming Series
Coming March 202610-Part Series
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.
A
Foundations
Posts 1–3 · What is Context Engineering and why should QA teams care?
B
Building QA Memory Systems
Posts 4–7 · Hands-on builds: from test failure memory to self-healing tests
C
Scaling & Operating
Posts 8–10 · Making it production-ready: multi-agent, monitoring, massive scale
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Krishnanand B
Founding Imagineer
11+ years building test automation systems. From Selenium scripts to AI-native platforms.
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