Engineering Related Topics 
CIO
OCTOBER 17, 2024
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.”
Xebia
APRIL 9, 2025
UV: The Engineering Secrets Behind Pythons Speed King Python packaging has long been a bottleneck for developers. Lets go through the engineering secrets behind these innovations and highlight why UV is faster then the established tools. The post UV: The Engineering Secrets Behind Pythons Speed King appeared first on Xebia.
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CIO
NOVEMBER 19, 2024
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.
Xebia
NOVEMBER 26, 2024
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.
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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.
Honeycomb
DECEMBER 17, 2024
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?
CIO
MARCH 4, 2025
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.
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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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
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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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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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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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.
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.
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.
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