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How to Measure Engineering Team Performance – Introducing GreyMonk

AI, AI tools, Analysis, Large Language Models, Software EngineeringSeptember 11, 2025568Views0Likes0Comments
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…

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A Product Manager’s Playbook for Multi-Acquisition Environments

Project Management, Culture, Software EngineeringAugust 20, 2025448Views0Likes0Comments
When I first joined a project whose core business model revolved around acquiring and operating multiple companies, I expected complexity. But what I walked into was far more than that. It was a living, breathing puzzle where every piece had its shape, history, and pace. From onboarding processes that felt like assembling IKEA furniture without…

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

Software Engineering, AI, Generative AIAugust 20, 2025885Views0Likes0Comments
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.…

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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, 20251KViews0Likes7Comments
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…

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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, 20254KViews0Likes3Comments
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.…

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Project reboot – A new default

AI, Agentic AI, AI tools, Analysis, Creative, Generative AI, Large Language Models, Research and Development, Software EngineeringJune 16, 20252KViews0Likes3Comments
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…

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