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How to Measure Engineering Team Performance – Introducing GreyMonk

AI, AI tools, Analysis, Large Language Models, Software EngineeringSeptember 11, 2025571Views0Likes0Comments
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 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, 20251KViews0Likes1Comment
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…

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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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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, 2025909Views0Likes2Comments
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…

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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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