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How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems. But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise.

Code 214
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Develop Multi-Value Applications With Modern Source Code Managers

DZone

Legacy Version Control Tools for Multi-Value Application Development. The legacy version control tools are specific to the multi-value programming controls BP libraries and DICT files on the PICK operating system environment. Let’s consider five staging levels, such as development, QA, UAT, pre-production, and production environments.

Code 141
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Generative AI poised to have impact by automating software development, report says

Dynatrace

According to recent research from TechTarget’s Enterprise Strategy Group (ESG), generative AI will change software development activities, from quality assurance to debugging to CI/CD pipeline configuration. On the whole, survey respondents view AI as a way to accelerate software development and to improve software quality.

Software 170
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Measuring Code Quality: Qualitative and Quantitative

DZone

Code Quality defines that the code is good, which means code is of high quality, and code is bad, which means code is of low quality. Code can be considered good quality if it is clear, simple, well tested, bug-free, refactored, documented, and performant.

Code 269
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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”

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How To Make Legacy Code More Testable

DZone

Much has already been said about the importance of automated tests: they provide a great safety net when modifying system components, alerting to issues much earlier in the development lifecycle. As a result, bugs are prevented from ever reaching production environments.

Code 141
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LLMs Demand Observability-Driven Development

DZone

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI.