Dedicated QA Team
- Continuous API validation across sprints and releases
- Deep domain knowledge built over time
- Proactive test maintenance and coverage expansion
- Dedicated point of contact for all QA communication






50%
Faster Integrations
95%
Production Stability
99.9%
System Reliability
10x
Scalability Ready

This blog explains how an AI-assisted Playwright pipeline can analyze test failure evidence, identify probable root causes, and support human-validated debugging.

GeekyAnts ranks No. 3 among London mobile app development companies on Clutch, based on its client reviews, project experience, service focus, and market presence.

This blog explains how Model Context Protocol (MCP) works, from tool discovery and execution to OAuth authorization, security controls, and production deployment.

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.

A practical guide to who owns each production decision when AI helps write the code, covering the release-approval matrix, readiness gates, incident response, partner evaluation, and a four-week way to put it in place.

This news article covers GeekyAnts being listed among DesignRush’s Top 20 Software Development Companies in 2026 and the product engineering capabilities highlighted in its profile.