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Intent-Driven Ontology
Introduction In an increasingly complex digital landscape, traditional UI paradigms often fall short in delivering context-aware, adaptive experiences. In this blog post, we explore the concept of Intent-Driven Ontology, a powerful design approach that tailors data and behavior based on what the user is trying to achieve, rather than forcing a one-size-fits-all interface. Definitions To…
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Composable UI Architecture Using a DSL
In modern front-end development, particularly in React applications, there’s a growing emphasis on creating maintainable, scalable, and modular user interfaces. This article explores how a composable UI architecture can be implemented using a low-code DSL (Domain-Specific Language), enabling developers to define structure, behavior, and layout through clear, declarative configuration. We will cover: Understanding Views, ViewModels,…
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Leveraging MCP and WebNN in Advanced Web UIs
Introduction Modern web interfaces increasingly embed AI-powered agents to assist users contextually. Two emerging technologies can greatly enhance this: the Model Context Protocol (MCP) and the Web Neural Network API (WebNN). MCP, introduced by Anthropic in late 2024, is “an open protocol that standardizes how applications provide context to LLMs”. Think of MCP as a…
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Low-Code, Reimagined: Schema-Driven Feature Modules Powered by DSL Architecture
Introduction “The fastest code is the code you don’t have to write.” Modern software development isn’t just about writing code faster — it’s about eliminating the need to write certain kinds of code altogether. Low-code platforms have long promised this, but often fall short when it comes to flexibility and developer control. But what if…
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Introducing a Declarative DSL for Enterprise Data Modeling & Dynamic Forms
Introduction Before we dive in, this is an updated and more refined version of the DSL approach I shared in earlier posts. It now includes a richer set of features, enabling support for a wider range of scenarios. You can find the full DSL documentation at the link below. In the world of enterprise software,…
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Offline Smart Action
Introduction The future of smart, AI-powered user interfaces doesn’t need to rely on the cloud. This blog post dives into a powerful, yet lightweight implementation of offline smart action detection, using JavaScript, WebAssembly, and ONNX—all right in the browser. We’ll unpack a complete working code sample, explore the AI model behind the scenes, discuss performance…
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Building Smart Web Components with DistilBERT in the Browser
Introduction Smart web components are self-contained UI pieces with embedded logic—think AI-enhanced text fields, summarizers, or sentiment analyzers that require no backend. One exciting way to bring real intelligence into these components is through Transformer models, and a great lightweight model to get started with is distilbert-base-uncased. In this post, we’ll explore: What is distilbert-base-uncased?…
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Smart Components
Introduction Rethinking UI/UX: The Evolution Toward Smart Components Traditionally, UI/UX design has been centered around standardized components. These typically fall into three broad categories: styles, basic components, and complex components. The style engine serves as the foundation, providing a consistent visual language across the application. It defines the overall look and feel — colors, typography,…
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SurrealDB in 2025: A Comparative Analysis Across Database Categories – Briefing Document
This briefing document provides a comprehensive overview of SurrealDB as of 2025, analyzing its core features, query language, performance, tooling, scalability, and use cases. It compares SurrealDB to established databases across various categories, including relational SQL databases (PostgreSQL, MySQL), document stores (MongoDB, FaunaDB), graph databases (Neo4j), and other multi-model systems (ArangoDB). The analysis incorporates information…
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Web Machine Learning CG Meeting Briefing – March 31, 2025
This briefing document summarizes the main themes and important ideas discussed during the Web Machine Learning Community Group (CG) teleconference held on March 31, 2025, focusing on the EU-APAC timezone friendly session. The information is derived from the meeting agenda and the minutes recorded for that meeting. Key Themes: Most Important Ideas and Facts: 1.…