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How to Build a Payment Gateway: Cost, Architecture, Compliance, and Development Roadmap
Oct 12, 2026

How to Build a Payment Gateway: Cost, Architecture, Compliance, and Development Roadmap

Get insights on how to build a payment gateway with enterprise architecture, development costs, compliance requirements, security, and a practical development roadmap.

Insight
GeekyAnts Leadership Team Heads to TechCrunch Disrupt 2026 to Showcase AI-Native Product Development
Oct 12, 2026

GeekyAnts Leadership Team Heads to TechCrunch Disrupt 2026 to Showcase AI-Native Product Development

GeekyAnts will exhibit AntFabric at TechCrunch Disrupt 2026 in San Francisco, bringing its AI-native workspace and product engineering experience to Booth E-8.

Insight
How We Engineered a Three-Path Reward Processing System for a Real-Time Sports Platform
Oct 12, 2026

How We Engineered a Three-Path Reward Processing System for a Real-Time Sports Platform

This blog explains how a real-time sports platform uses synchronous, asynchronous, and scheduled processing paths to handle rewards without slowing down the player experience.

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Build an MCP-Powered QA Agent with Playwright and TypeScript
Oct 12, 2026

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.

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Frequently asked questions about hiring GeekyAnts for AI product engineering and BFSI modernization
Oct 12, 2026

Frequently Asked Questions About Hiring GeekyAnts for AI Product Engineering and BFSI Modernization

Get answers to common questions about hiring GeekyAnts for AI product engineering and BFSI modernization, including experience, team structure, security, costs, engagement models, IP ownership, and post-launch support.

Insight
From Test Failure to Root Cause: Building an AI-Assisted Playwright Failure Analysis Pipeline
Oct 9, 2026

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.

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