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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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Don’t make the biggest mistake in application modernization projects

CIO

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.

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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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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

Enterprise applications have become an integral part of modern businesses, helping them simplify operations, manage data, and streamline communication. However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. It’s no surprise given the non-deterministic nature of LLMs.

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Call for content applications close Friday

TechCrunch

Apply here to speak at Disrupt , and get a move on — the application deadline expires April 21. TechCrunch Disrupt takes place on September 19–21 but, just to hammer the point home, the call for content application deadline is April 21. Call for content applications close Friday by Lauren Simonds originally published on TechCrunch

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Modularizing React Applications: fixing Shotgun Surgery

Martin Fowler

Juntao Qiu completes his article on modularizing react applications by identifying that the last change smelled of Shotgun Surgery and taking the steps to fix it.

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LLMs in Production: Tooling, Process, and Team Structure

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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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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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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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

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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Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

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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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.

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Optimize the Performance of Your Serverless Functions

In this new product brief from Datadog, you’ll learn how Datadog Serverless Monitoring enables you to visualize your services and their dependencies, gain actionable insights into how the performance of your serverless applications impacts your customers, and tips to monitor the health of your applications in a serverless environment.