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Engineering Practices for LLM Application Development

Martin Fowler

LLM engineering involves much more than just prompt design or prompt engineering. 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.

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Salesforce’s Einstein 1 platform to get new prompt-engineering features

CIO

Salesforce is working on adding two new prompt engineering features to its Einstein 1 platform to speed up the development of generative AI applications in the enterprise, a top executive of the company said. How do Einstein 1’s new prompt-engineering features work?

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DevOps Engineer vs Software Engineer

The Crazy Programmer

It is common for people to confuse these two prominent career options – DevOps Engineer and Software Engineer. Role of Software Engineer. Software engineers are responsible for developing software based on the needs of clients. There are many types of software engineers, such as. Security engineer.

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What is a data engineer? An analytics role in high demand

CIO

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets.

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How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra

If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Whether you’re motivated by cost savings, avoiding vendor lock-in, or embracing the vibrant open-source community, Apache Cassandra offers robust value.

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Building a successful platform engineering practice

CIO

As companies continue to shift towards the cloud, platform engineering has emerged as a practice for organizations to efficiently and effectively deploy modern workloads, while maintaining a repeatable secure deployment pattern. Companies have seen a 35 percent revenue increase from faster modern app delivery.

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Bottleneck #03: Product v Engineering

Martin Fowler

In the third article on the Bottlenecks of Scaleups, Rick Kick and Kennedy Collins talk about the bottleneck that occurs when friction develops between product and engineering.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. Businesses today compete on their ability to turn big data into essential business insights.

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Decoding Code Review and Pull Requests - a handbook for Software Engineers and Tech Leads

A complete handbook on implementing a code review culture in your organization. Written by Elaine Watanabe, it's a practical e-book with useful examples and references, and a must-read for all tech teams.

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Discover How Senior Technology Leaders Can Secure the Budget That They Need

Speaker: Kevin Goldsmith, Chief Technology Officer at Anaconda | Peyman Pouryekta, CEO and Technology Advisor | Bob Webber, VP Product Flow Optimization, Construx

This can be challenging, as engineering is often seen as a cost center, making it difficult to gain management buy-in for strategic investments. Quantify the value of the software that engineering produces. By the end of this session you will learn how to: Strategically invest in technology. Determine the success of an investment.

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Top Considerations for Building an Open Cloud Data Lake

Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. How cloud data lake engines enable a better balance between data warehouse investments versus those in the cloud data lake

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Success Story: Swiss Insurtech Company Hires a Remote CTO from Ukraine

Ability to build, scale and shrink the team very fast, combined with the very best software engineering talent, made it a perfect mix of reasons why the company has made these decisions. Swiss Insurtech startup decided to go the 2nd way and found a trusted partner to build a dedicated development team in Ukraine.

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From an Agency Serving Clients to Their Own Fintech Product

With this in mind, a Canadian full stack digital agency decided to jump into offshoring not only to find skilled engineers, but also to expand cultural barriers with countries across the world. The project they needed to complete was aimed at operating within the financial environment, thus it was tremendous, scrupulous, and time-consuming.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. Why agile development concepts, when applied to the data tier, can dramatically increase data engineering agility.

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Skyscanner's Journey to a "Continuous Improvement" Team Culture

Speaker: Ramsay Ashby

They shared what originally took them down this path, including the signs that change was needed and the impact it has had.