Shuru » Generative AI

Rails Authentication with OmniAuth: A Practical Guide (GreyMonk)

OmniAuth, Agentic AI, AI, AI tools, Authorisation, OAuthSeptember 12, 2025336Views 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, 2025569Views 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…

How Does Voice AI Improve Customer Support Across Industries Better Than IVR?

AI, Generative AIAugust 20, 2025539Views 0Likes 0Comments

Businesses have relied on traditional Interactive Voice Response systems to automate phone interactions. These systems often feel robotic, force users to navigate frustrating menus, and fail to create any sense of personal connection. They are functional, but not conversational. Efficient, but not engaging. Voice AI changes that reality. It introduces intelligent voice agents that speak…

Why Virtual Try-On is the Best 2025 Feature Upgrade for Online Retail Brands?

Software Engineering, AI, Generative AIAugust 20, 2025885Views 0Likes 0Comments

More than 7 out of every 10 shopping carts are abandoned before checkout, a staggering 70.19% global average. Why? Not pricing. Not shipping. But uncertainty and frustration. Shoppers don’t know how something will look on them, or fit their space, or suit them. That’s your drop-off signal! Today’s digital shopper expects more than product grids.…

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…

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

Agentic AI, AI, Analysis, Cohort Analysis, Large Language Models, Research and DevelopmentJune 23, 2025906Views 0Likes 2Comments

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

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…