Boosting QA Efficiency with AI-Powered Automation
Client
Bardeen
Date
August 2025
Tech stack
TypeScript
Playwright
Playwright MCP
Cursor AI
GitHub Actions
Snowflake
Bardeen is an innovative platform that required a sophisticated, full-cycle quality assurance process to match its rapid development pace. To ensure product stability and accelerate release cycles, they needed a comprehensive QA strategy encompassing both manual and automated testing.
Challenges
Before partnering with InConcept Labs, Bardeen had explored various QA solutions, including in-house automation managed by their development team. This approach led to several challenges:
Fragmented Processes: The absence of a dedicated, structured QA framework resulted in inconsistent testing and potential gaps in coverage.
Technological Transition: The existing automation suite was built on Puppeteer, and the client wanted to migrate to the more modern and robust Playwright framework.
Slow Test Creation: The initial pace of writing automated tests was slow, with engineers producing only 2-3 test cases per day, which hindered the ability to expand test coverage quickly.
Poor Visibility into Test Health: The existing analytics provided limited actionable insights. Lacking a centralized dashboard, the team struggled to efficiently monitor test runs and systematically resolve flaky tests, which created a significant operational bottleneck.
The Solution
InConcept Labs implemented a multi-phased strategy to build a scalable and efficient QA ecosystem from the ground up.
Establishing a Manual QA Foundation
The initial phase focused on creating a solid foundation. Our team developed a full test strategy, wrote comprehensive test cases and plans, and integrated a rigorous testing cycle. This included:
Regression Testing: Performed after each development cycle to ensure new changes didn't break existing functionality.
Smoke Testing: Implemented before each release to verify critical features were stable.
Modernizing and Scaling Test Automation
The next step was to overhaul the automation suite. Our team successfully managed the migration of all existing test cases from Puppeteer to Playwright. Once the migration was complete, we focused on expanding coverage by adding new tests for every feature and user flow.
AI-Powered Productivity Boost
The most significant challenge was increasing the velocity of test case creation. To solve this, we incorporated advanced AI tools into our workflow. This innovation dramatically accelerated the process of writing and structuring automated tests. As a result, the productivity of each QA engineer skyrocketed from creating 2-3 test cases per day to up to 20 test cases per day.
Comprehensive Analytics and Infrastructure
To ensure full visibility and control over the testing process, our team took ownership of the entire QA infrastructure. This included:
Managing end-to-end test runs on pull requests and on a daily basis.
Creating advanced analytics dashboards to monitor test results, track failures, and identify flaky tests.
Implementing key performance metrics, such as average test run speed and average failure rates, to provide actionable insights.
The Result
The partnership transformed Bardeen's quality assurance from a development bottleneck into a strategic asset. The key outcomes include:
Massive Productivity Gains: A nearly 10x increase in test case creation speed, thanks to the integration of AI tools.
Enhanced Test Coverage: Rapidly expanded test suite, providing greater confidence in product stability with each release.
Successful Tech Migration: A seamless transition to a modern, more efficient automation framework (Playwright).
Data-Driven QA: The implementation of analytics and monitoring provided clear visibility into test health and performance, enabling proactive issue resolution.
Established Full-Cycle Process: Bardeen now benefits from a robust, end-to-end QA process that supports their agile development and ensures a high-quality user experience.
Our core engineering team was focused on building new features and iterating quickly, so we needed a software partner who could take full responsibility for QA automation and keep pace with development - without requiring micromanagement or constant oversight from our side.
The InConcept Labs team was exactly what we were looking for. They brought in a talented, versatile group of experts and took complete ownership of QA automation processes and practices. I never felt a difference between our in-house engineers and the InConcept Labs team; the same sense of ownership and commitment was always there.
They also delivered true AI-augmented QA services, leveraging every new AI update to push the boundaries of speed and efficiency. Great skills, smart people, and a strong commitment - that's what made this partnership so valuable.
Artem Harutyunyan
CTO
