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The future of Cloud-native software development with Radius

Xebia

The rise of platform engineering Over the years, the process of software development has changed a lot. This approach made the development process straightforward initially, but as applications grew in complexity, maintaining and scaling them became increasingly challenging. This may take a minute or two.

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Implementing a Version Control System for AWS QuickSight

Xebia

Implementing a version control system for AWS QuickSight can significantly enhance collaboration, streamline development processes, and improve the overall governance of BI projects. The post Implementing a Version Control System for AWS QuickSight appeared first on Xebia.

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Finding a New Software Developer Job

Henrik Warne

For the first time ever, I was laid off, and had to find a new software developer job. I implemented enough of the system to pass all the existing test cases. I managed to find a new one, but it took longer than I thought, and it was a lot of work. Here is what I learnt from the process.

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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts.

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Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. How to address technical debt and retrofit existing systems to support better evolution.

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7 sins of software development

CIO

Software development is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Still, it’s impossible to list the endless innovations that software alone has made possible. Over the years software teams have figured out a few rules for getting the job done.

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12 AI predictions for 2025

CIO

Smaller models, on the other hand, are more tailored, allowing businesses to create AI systems that are precise, efficient, robust, and built around their unique needs, he adds. Reasoning also helps us use AI as more of a decision support system, he adds.