Building an MCP-Powered QA Agent
Build an MCP QA agent that runs Playwright tests, validates APIs, and analyzes failures through a controlled, auditable tool layer with human approval.
GeekyAnts Tech Blog
Latest articles
From Test Failure to Root Cause: Building an AI-Assisted Playwright Failure Analysis Pipeline
This blog explains how an AI-assisted Playwright pipeline can analyze test failure evidence, identify probable root causes, and support human-validated debugging.
Stop Automating Everything: A Balanced Quality Engineering Approach to Testing
Balanced quality engineering places automation, API testing, exploratory work, and AI where each gives the most value, so teams ship faster without trading away user-perceived quality.
The Hidden Cost of 'AI-Powered' Compliance Tools: What FinTech Buyers Should Actually Ask Vendors
The quoted subscription is only the base of what an AI compliance tool costs to run. This article breaks down the ten hidden cost lines FinTech buyers need to model, the 25 questions to send vendors in writing, and the evidence to request before signing a three-year contract.
The Deprecation Notice Nobody Reads
This blog explains why API deprecation notices often fail and how staged retirement, telemetry, brownouts, and scheduled enforcement can make API migrations more controlled and predictable.
From Rolling Deployments to Zero-Downtime Releases
This blog explains how Blue-Green deployment helps reduce downtime in online banking releases through traffic switching, pod readiness, static-resource versioning, and rapid rollback.
From Manual Testing to AI-Assisted Automation with Playwright Agents
This blog discusses the value of Playwright Agents in automating workflows. It provides a detailed description of setting up the system, as well as a breakdown of the Playwright Agent’s automation process.