Shuru » AI tools

Rails Authentication with OmniAuth: A Practical Guide (GreyMonk)

OmniAuth, Agentic AI, AI, AI tools, Authorisation, OAuthSeptember 12, 2025338Views 1Like 0Comments

Developers work with many tools nowadays, from git hosting providers like GitHub/Bitbucket to task management tools like Jira/ClickUp to communication platforms like Slack/Teams to AI IDEs/Agents like Cursor/Claude Code/GitHub Copilot etc and countless other development tools. With work spread across so many tools, analytics, reporting & insights are also fragmented, making it hard for engineering…

How to Measure Engineering Team Performance – Introducing GreyMonk

AI, AI tools, Analysis, Large Language Models, Software EngineeringSeptember 11, 2025571Views 0Likes 0Comments

Objective engineering analytics that leaders and teams actually use Start line and Current Position Two years ago we pivoted. We stopped running a B2C product and doubled down on what we do best: building technology products. From day one we solved client problems from first principles. Early on we noticed the industry talks in boxes…

A case study of self-hosted, locally running coding LLM chatbots

Agentic AI, AI tools, Claude Code, Coding models, CUDA, GPU, Large Language Models, Locally running LLMs, Qwen 2.5, Roo CodeAugust 8, 20251KViews 0Likes 1Comment

Explore flexible AI-coding workflows without vendor lock-in. This hands-on deep-dive weighs options such as bargain GPU clouds – Runpod, TensorDock, Kaggle T4s, and Paperspace – and then illustrates our experiment in self-hosting a Qwen 2.5 Coder on a single RTX 4080. We lay out where dollars, VRAM, and latency stack up, touch on how quantization…

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

Agentic AI, AI tools, Analysis, Claude Code, Claude Sonnet, Creative, Figma, Generative AI, MCP Servers, Prompt Engineering, Software EngineeringJuly 24, 20251KViews 0Likes 7Comments

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…

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

Agentic AI, AI tools, Claude Code, Claude Opus, Claude Sonnet, CLine, Cohort Analysis, Context Engineering, Gemini 2.5, GitHub CoPilot, Large Language Models, OpenRouter, OpenRouter, Prompt Engineering, Research and Development, Roo Code, Software EngineeringJuly 8, 20254KViews 0Likes 3Comments

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.…

Project reboot – A new default

AI, Agentic AI, AI tools, Analysis, Creative, Generative AI, Large Language Models, Research and Development, Software EngineeringJune 16, 20252KViews 0Likes 3Comments

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…