Skip to content Skip to sidebar Skip to footer

AI Toolset Studies: Developer experience, usefulness & output code-quality evaluation

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…

Read More

The power developer framework from Project Reboot.

OpenRouter experiment Phase 1: Power Users – How Our Top AI Developers Really Work

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.…

Read More

Mapping the AI terrain - A Deeper Dive with Cohort-based Developer AI Usage Analysis

Mapping the AI Terrain: A Deeper Dive with Cohort-based Developer AI usage analysis

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…

Read More

Project reboot - a new default

Project reboot – A new default

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…

Read More