article thumbnail

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.

article thumbnail

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?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

article thumbnail

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.

article thumbnail

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.

article thumbnail

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

article thumbnail

At Last, the Secrets to Effective Stakeholder and Board Member Communications are Revealed!

Speaker: Heather Wilde, Coach, Speaker, and CTO at theDifference | Pandora Ovanessian, CIO, VP of Technology, and Technology Consultant | Steve McConnell, Author of Code Complete and CEO at Construx Software

Translating engineering and technological jargon in an accessible way, one that encourages contribution for improvement and helps your stakeholders understand your organizations achievements, is difficult. Choose the right engineering KPIs. Make the case that engineering goals are in sync with business goals.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.