How McLeod Software turned days of QA work into minutes with DevClarity's AI Jumpstart

McLeod's QA platform makes sure every feature in its transportation-management suite works before a customer ever sees it. But by spring 2025 as the development team's velocity increased, the team was dealing with Selenium upkeep. A single screen change could break dozens of XPaths, and hand-coding each test could take up to two full developer days.

McLeod needed a way to ship new UI tests as fast as features ship—and free engineers to focus on higher-value scenarios. The challenge was compounded by a major web-UI rewrite underway with hundreds of classic pages moving to the modern stack, with weekly releases causing locator breakage every few days.

McLeod chose DevClarity's AI-upskilling engagement: a four-week, hands-on program that teaches software developers & QA engineers to wield generative-AI tools directly inside their code editors.

After DevClarity's team helped set up McLeod's AI coding environment and provided training to the entire team, DevClarity zeroed in on test automation work for the directed effort part of the engagement. As DevClarity spent time with the QA squad, they wrote a reusable prompt library that took a new web application page and built automated tests to cover the entire page. Over three live sessions, DevClarity coached engineers while they built real tests using the new AI-first process.

McLeod saw dramatic improvements across all key metrics:

• UI-automation scaffolding: Dropped from 8+ hours to less than 60 minutes (87% faster)
• Test writing effort: Reduced from 2.5+ hours to less than 30 minutes (80% reduction)
• Test velocity: Estimated increase of 4x more tests per sprint
• Release confidence: Increased confidence as QA stays with development