Applications Related Topics 
Martin Fowler
FEBRUARY 7, 2023
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.
Martin Fowler
MAY 14, 2024
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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Martin Fowler
FEBRUARY 13, 2024
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.
Martin Fowler
JUNE 29, 2023
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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There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.
CIO
JANUARY 15, 2025
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.
CIO
JANUARY 15, 2025
n a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.
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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.
Advertiser: Procom Services
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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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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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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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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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.
Advertiser: Datadog
By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.
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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.
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