This report dives into real-world experiments evaluating the developer experience, usefulness, and code quality output of modern AI tools. Focusing on Claude Code and Figma MCP integration in a React Native project, the study uncovers practical insights, highlighting both the promise and quirks of using agentic AI for frontend tasks. From managing language selection screens…
What happens when engineers get total freedom to pick and choose their own tools from a credits-based, model-agnostic AI stack? In Project Reboot’s latest experiment, we allocated OpenRouter credits – matching the value of a monthly Copilot seat – to a randomly selected group of participants, with Copilot left in place as a safety net.…
In our first post, we shared high-level insights from our AI usage survey across the engineering department at Shuru. But averages can be misleading. To truly understand how AI is impacting developer workflows, we’re diving deeper — by slicing the data into cohorts.
This post outlines our approach to cohort-based analysis, how we plan to…
Project Reboot – A new default is Shuru’s internal initiative to reshape how teams engage with AI in software development. As AI tools become ubiquitous, their adoption across teams remains uneven. With this series, we’re not just trying to change that – we’re committing to doing it in public.
From tool usage data across our…