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Modularizing React Applications with Established UI Patterns

Martin Fowler

In this first part he gives an overview of how a React application can evolve into a better modular structure. Despite being the hot new thing, React is just as vulnerable to this problem as Swing and Turbo Pascal. My colleague Juntao Qiu writes about how to untangle such a mess. Later parts will dig into a small, but representative example.

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Engineering Practices for LLM Application Development

Martin Fowler

Here David Tan and Jessie Wang reflect on how regular engineering practices such as testing and refactoring helped them deliver a prototype LLM application rapidly and reliably. LLM engineering involves much more than just prompt design or prompt engineering.

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Data Fetching Patterns in Single-Page Applications

Martin Fowler

In this article he describes patterns for how single-page applications fetch data. He's contributed a couple of useful articles to this site, describing helpful patterns for front-end programming. This first installment describes how asynchronous queries can be wrapped in a handler to provide information about the state of the query.

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Building Boba AI: Some lessons and patterns learnt in building an LLM-powered generative application

Martin Fowler

From this experience he as proposed eight patterns which he judges will be generally useful for building these kinds of AI co-pilot applications. My colleague Farooq Ali has been working on a co-pilot tool, Boba AI, for using an LLM to help generate ideas for product strategy.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Elon Musk is now taking applications for data to study X — but only EU researchers need apply…

TechCrunch

Lawmakers take note: Elon Musk-owned X appears to have quietly complied with a hard legal requirement in the European Union that requires larger platforms (aka VLOPs) to provide researchers with data access in order to study systemic risks arising from use of their services — risks such as disinformation, child safety issues, gender-based violence (..)

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System of intelligence — generative AI at the app layer

TechCrunch

As generative AI shapes the next generation of application products, we can expect even more sweeping evolution. © 2023 TechCrunch. All rights reserved. For personal use only.

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?

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An Architect’s Guide for Selecting Scalable, Data-Layer Technologies

There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution.

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The Impact of AI on the Modern Recruitment Landscape

From streamlining the job search process to efficiently navigating the influx of applications, AI-powered tools can revolutionize your recruitment efforts.

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10 Rules for Managing PostgreSQL®

Its expanding range of use cases is witnessing exponential growth, allowing PostgreSQL to effectively target an ever-increasing number of applications while minimizing limitations. PostgreSQL is a highly versatile and robust technology, capable of addressing a wide range of challenges in diverse environments.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. 4 common approaches to analytics for your application. How do you differentiate one solution from the next? You’ll learn: The evolution of business intelligence. The pros and cons for each option.