How Help Lightning cut dev time and aligned cross-platform teams in one week with DevClarity

Help Lightning, a fast-growing remote-visual-assistance platform with 70,000 users worldwide, needed to increase developer output to meet demand from enterprise customers like Siemens and Boston Scientific. They knew AI-assisted development could accelerate their roadmap, but they needed a pragmatic approach that would start working today and stick across web, mobile, and backend teams.

Neal Evans (CTO) and Marcus Dillavou (Founder & VP of Engineering) engaged DevClarity to introduce modern AI dev tooling and streamline best practices. DevClarity led a hands-on workshop that got engineers comfortable with code-generation tools like Cursor and dynamic project rules to encode Help Lightning's unique patterns directly into their coding environment.

Within days, the teams were spinning up new features more quickly, sharing consistent style guidelines, and using AI prompts to write clearer tests.

Equally important, DevClarity's approach unified Help Lightning's dispersed dev groups. Each engineer became able to focus on the problem they are solving first, with AI helping piece together the platform specific solution. This better aligned code across platforms, saved hours on PR reviews, and gave product managers more insight into how features are implemented across platforms.

By adopting DevClarity's framework—up-front training, curated project rules, and ongoing coaching—Help Lightning saw immediate gains:

• Faster release cycles: Repetitive tasks and test generation now take a fraction of the time.
• Improved cross-team collaboration: Engineers in mobile, web, and backend share the same AI-driven approach. The team is experimenting with a single developer working across platforms with assistance from AI.
• More bandwidth for complex issues: AI has reduced grunt work, so senior developers can tackle bigger architectural decisions.