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Curia Systems, a leading provider of judicial case management solutions, sought to enhance the performance, reliability, and automation of their web-based platform that powers legal workflows such as ticket entry, court scheduling, and online payments. With an increasing demand for faster releases, fewer bugs, and scalable solutions, Curia needed a strategic technology partner to revamp their testing process and optimize their development cycles.
Partnering with Mechlin Technologies, the focus was placed on delivering a full-spectrum solution encompassing custom software development, automation using Playwright, manual QA, and DevOps implementation. This case study outlines the collaborative approach taken to streamline Curia's test processes, reduce time to market, and ensure application stability across environments—ultimately supporting their mission to deliver a modern, efficient judicial platform.

Playwright Automation

QA process automation

Azure DevOps

100%

automation coverage

60%

Optimized backend API integration

100%

timely development

About the client

Curia Systems is a legal technology platform offering streamlined case management solutions for courts and legal departments. Their web portal supports complex workflows like traffic ticket management, court scheduling, payment processing, and reporting—all tailored to judicial processes.

Tech stack

Github

Playwright

Azure Dev Ops

Challenges & solutions

Challenge

Manual test creation, execution, and analysis became a bottleneck. Traditional methods couldn't keep pace with the rapid updates, resulting in delayed releases and regression issues.

Solution

We implemented a Playwright-based automation framework that reduced test execution time while improving accuracy. With selective execution and CI/CD pipeline integration, we eliminated bottlenecks and streamlined test cycles.

Challenge

Initial setup complexity and inefficient test design slowed down automation efforts.

Solution

We rewrote scripts to remove wait for visible actions, making them more responsive to slow servers and real-world latency. This reduced test flakiness and increased reliability across environments.

Challenge

Manual deployments and absence of automated validations during code merges led to post-release bugs.

Solution

We developed custom Azure DevOps pipelines for:
  • Manual trigger execution
  • Pre-merge testing in UAT
  • Post-merge testing in production
  • This ensured bugs were caught early, before deployment.

Challenge

Ongoing updates by multiple developers frequently broke existing functionality.

Solution

We initiated a monthly maintenance plan involving code sync, bug fixing, and retesting. This proactive approach stabilized the test suite and ensured minimal downtime post-release.

Client Feedback

Mechlin Technologies excels in QA testing, ensuring every aspect of your product is flawless. They have setup our QA automation testing process with their innovative Playwright with TypeScript framework setup. We can now efficiently execute automation flows, including entering different types of tickets and handling court processing seamlessly. Their Testing Pipeline Setup on Azure DevOps has streamlined our workflow significantly. Thanks to Mechlin Technologies for their exceptional services!

Aditya Arora

JCMS Curia Systems

The way we deal with your task and help achieve results

Collaborative Scoping:

We worked closely with the Curia Systems team to identify critical test cases and prioritize automation for key workflows like ticket entry, payments, and court processing.

Agile Execution:

Development and testing were aligned with sprint cycles, with timely delivery of each automated module and integrated feedback loops.

Performance-First Optimization:

Scripts were optimized for low-latency execution across different environments, using dynamic waits and robust selectors in Playwright.

Compliance & Deployment:

Each sprint ended with test cycles on UAT and Production branches via Azure DevOps, ensuring every release met quality and compliance standards.

Post-Sprint Stabilization:

We finalized each phase with end-to-end real device testing using BrowserStack and Firebase Test Lab to ensure stable, production-ready outputs.

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