Shuru » Generative AI

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, 2025344Views 0Likes 1Comment

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…

Project reboot – A new default

AI, Agentic AI, AI tools, Analysis, Creative, Generative AI, Large Language Models, Research and Development, Software EngineeringJune 16, 20251KViews 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…

MQL: The Use Cases, Problem Statements and Future

Generative AI, Software EngineeringApril 18, 20242KViews 0Likes 0Comments

The capacity to swiftly and effectively extract data from databases is valuable in today’s data-driven environment.

MQL: Generate SQL from Natural Language with 85% Accuracy

Generative AI, Software EngineeringApril 2, 20244KViews 7Likes 0Comments

MQL is a tool which can be used to ask queries in Natural Language and get a response in SQL query.

Dynamic Prompts: Master the Art

Generative AIFebruary 20, 20248KViews 31Likes 11Comments

Art of crafting prompts that not only make your interactions with language models, like ChatGPT, exciting but also ensure accurate and invaluable outputs.

Generative AI: Empowering Innovation with its Astonishing Capabilities

Generative AIJune 30, 20232KViews 1Like 2Comments

One intriguing and rapidly evolving aspect of AI is generative AI, a subfield that pushes the boundaries of creativity and imagination.

Intro to Transformer Models: The Future of Natural Language Processing

Generative AIJune 20, 20232KViews 1Like 5Comments

The accomplishments of large language models are attributed to the architecture that they follow – Transformer Models

Simple and Effective LangChain Guide to Get Started

Generative AIJune 19, 20238KViews 2Likes 1Comment

At the core of LangChain lies the concept of chaining different components together to tackle complex problems using LLMs. These chains can consist of multiple components sourced from various modules within Langchain.

Build a Revolutionary 100x Digital Customer Service Experience with Generative AI

Software Engineering, Generative AIJune 2, 20232KViews 0Likes 6Comments

Learn how you can offer a better customer service experience by leveraging Generative AI and Large Language Models (LLMs).

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

Project reboot – A new default

MQL: The Use Cases, Problem Statements and Future

MQL: Generate SQL from Natural Language with 85% Accuracy

Dynamic Prompts: Master the Art

Generative AI: Empowering Innovation with its Astonishing Capabilities

Intro to Transformer Models: The Future of Natural Language Processing

Simple and Effective LangChain Guide to Get Started

Build a Revolutionary 100x Digital Customer Service Experience with Generative AI

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