Applications Related Topics 
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.
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.
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Xebia
JUNE 4, 2024
When starting to build a new frontend application, most of the time frameworks like Angular, React, and Vue are considered preferred frameworks. Simplified Deployment : Since the application logic is executed on the server, deployment can be more straightforward, as there’s no need to deal with static files for the client-side logic.
Martin Fowler
MAY 29, 2024
Juntao Qiu's completes his set of data fetching patterns for single-page applications. Prefetching involves fetching data before it's called for in the application flow. Although this can mean data is fetched unnecessarily, it reduces latency should the data be needed.
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See how infused analytics can take your SaaS applications to the next level. If you want to be successful, you need the best technologies, and the best technologies come from having the best embedded partners.
CIO
OCTOBER 17, 2023
Application modernization isn’t simply a trend; it’s the mandate for every IT organization. The cost of running old applications and the infrastructure that supports them is problematic. To make a difference, applications must be fundamentally “rebuilt” to gain the desired benefits.
Martin Fowler
MAY 23, 2024
Single-Page Applications often require a lot of code to be downloaded to the browser, which can delay a page's initial appearance. Juntao Qiu's next pattern, Code Splitting , describes how this code can be divided up, so that modules are only loaded if they are going to be needed, and the dangers of doing so.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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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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But if everyone knows that the development team is the lifeblood of your application and company, why are they often saddled with embedded technologies they don’t enjoy using? Here at Qrvey, we’re built for the way you build software.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
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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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Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Save your seat and register today! 📆 June 4th 2024 at 11:00am PDT, 2:00pm EDT, 7:00pm BST
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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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