How Quorum lifted weekly output 31% in one month with DevClarity's AI upskilling

Quorum Software builds the systems that power the energy value chain. They support 1,300 customers worldwide in 55+ energy-producing countries. The global energy industry relies on Quorum Software. Quorum’s software connects people, workflows, and data to drive efficiency and insight across the industry.

With a large product surface and mission-critical customers, Quorum Software needed a way to modernize faster, expand automated testing, and improve AI impact inside their day-to-day workflow.

Why now? Modernization and quality can't wait. Quorum wanted repeatable, codebase-native patterns—not AI slop—so teams across the company could move faster with confidence.

Over ~30 days, DevClarity set up repo-native rules and context for numerous active repos, delivered the company's first foundational AI Coding trainings, and ran four deep-dive training sessions tailored to Quorum's codebases. The deep dive trainings covered the following areas:

• • Modernization. Understand legacy codebases rapidly with AI, plan the rewrite, and execute framework changes with MCP agents and prompts.
• • Maintenance. Use AI to pull logs/context, find root causes, and ship fixes with guardrail tests.
• • New feature development. Plan new features with reusable AI prompts, implement, and generate tests: an AI-enabled spec-to-deploy workflow.
• • QA. AI-first unit testing and UI testing workflows, including Playwright-style patterns and reusable test prompts.

Each deep dive session allowed the Quorum team to walk through a specific, high-value use case of AI coding tools. They learned how to think in an AI-first way and adjust their behavior to align with the new paradigm of coding with AI.

By the end of the engagement, the team was reporting increased speed & quality in almost every aspect of the software development lifecycle.

• • Velocity: Developers reported that repetitive task speed increased +44% while overall weekly output increased +31%.
• • Adoption: Developers are using AI coding tools 38% more often after the jumpstart.
• • Usage: AI code generations & interactions increased 50%+.
• • Testing: Multiple teams reported faster creation of unit tests and tripwire checks.

What Quorum received: A systematic AI-coding process for engineering: context files, prompts, MCP patterns, and test workflows that now live in their repos—plus teams trained to use them.