article thumbnail

AI-native software engineering may be closer than developers think

CIO

Organizations and vendors are already rolling out AI coding agents that enable developers to fully automate or offload many tasks, with more pilot programs and proofs-of-concept likely to be launched in 2025, says Philip Walsh, senior principal analyst in Gartner’s software engineering practice. This technology already exists.”

article thumbnail

The Best Product Engineering Org in the World

James Shore

It was September 2023, my CEO was asking me a question, and my position as Vice President of Engineering was less than three months old. Software engineering productivity cant be measured. This is a talk about what you do, as VP of Engineering, when somebody asks for the impossible. How are you measuring productivity?

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

How Block is accelerating engineering velocity through developer experience

CIO

The Block ecosystem of brands including Square, Cash App, Spiral and TIDAL is driven by more than 4,000 engineers and thousands of interconnected software systems. Today, Block is doubling down on engineering velocity, investing in major initiatives to help teams ship software even faster.

article thumbnail

Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

Imagine that you’re a data engineer. These challenges are quite common for the data engineers and data scientists we speak to. An enhanced metadata management engine helps customers understand all the data assets in their organization so that they can simplify model training and fine tuning. Seamless data integration.

article thumbnail

2024 Salary Guide

With detailed pay rate data for top IT positions like Cybersecurity Consultants, Cloud Engineers, and Salesforce Developers, this guide is an essential resource for companies looking to stay competitive in today’s evolving workforce landscape. Download the guide to navigate 2024’s talent market with confidence.

article thumbnail

How Platform Engineering Tackles a New Software Crisis

Xebia

In this post, I’ll explore why history repeats itself and how modern solutions like Platform Engineering can help solve the challenges of today. The Original Software Crisis In 1968, a Software Engineering Conference took place in Germany. Let me introduce you to a potential solution: Platform Engineering.

article thumbnail

AI Strategies for Software Engineering Career Growth

Honeycomb

All the conditions necessary to alter the career paths of brand new software engineers coalescedextreme layoffs and hiring freezes in tech danced with the irreversible introduction of ChatGPT and GitHub Copilot. TRY NOW The post AI Strategies for Software Engineering Career Growth appeared first on Honeycomb. New to Honeycomb?

article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

article thumbnail

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products! There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday.

article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

Using this case study, he'll also take us through his systematic approach of iterative cycles of human feedback, engineering, and measuring performance. . 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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

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.