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3 areas where gen AI improves productivity — until its limits are exceeded

CIO

So based on early results, the three functional areas where companies see the biggest productivity improvements are in customer service, software development, and general creative and knowledge work. AI models are able to present best practice code systems to help junior developers learn and hone their skills.”

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Is Platform Engineering the New DevOps or SRE?

Daniel Bryant

What is platform engineering and why might it be key to good developer experiences? Almost every day we hear about another organization building an internal developer platform or developer control plane. Reducing complexity while enabling developer self-service is always a popular move, particularly when it works.

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Despite the venture slowdown, fintech startups are still hiring

TechCrunch

The company is looking for customer-focused skills and asks candidates to tell them about “a time you learned something from a team member that changed your mind or widened your perspective.” Among the positions it’s hiring for are Partnership Manager and Senior DevOps Engineer. Masterworks .

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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Why model development does not equal software development. While big data and machine learning engineers are in high demand, and thus expensive, they are important because they are the ones responsible for regularly retraining the models to provide accurate predictions and recommendations.

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Implementing Micro Frontend Architecture with Angular for Increased Team Productivity

RapidValue

Development of web applications has seen a lot of changes in the last few years. Framework developers have been working their socks off to make the user experience seamless and less time-consuming. Another disadvantage is that security issues can occur if the developers are not careful and sensitive data could be exposed.

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Microservices Adoption in 2020

O'Reilly Media - Ideas

Success with microservices means owning the software lifecycle. Most (74%) respondents say their teams own the build-test-deploy-maintain phases of the software lifecycle. Teams that own the lifecycle succeed at a rate 18% higher than those that don’t. Success with containers. Respondent Demographics.