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Code Evolution: Transforming Software Development with Generative AI Adoption

Becoming Human

In software development, staying ahead of the curve is vital for businesses that needs to deliver innovative and efficient solutions. The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development.

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CodeMaker AI Breakthrough in Software Development: Achieves 91% Accuracy in Recreating 90,000 Lines of Code, Setting a New Benchmark for AI-driven code Generation and Fine-Tuned Model

Marktechpost

In an era of AI-transforming industries, CodeMaker AI has achieved a landmark breakthrough by autonomously recreating a 90,000-line software library with an astounding 91% similarity to the original codebase. This stark comparison underlines the efficiency AI brings to software development.

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Samsung unveils Gauss2 AI model at SDC24 Korea

AI News

Samsung has revealed Gauss2, the second-generation proprietary AI model set to significantly enhance user experiences. Samsung Gauss2: Multimodal AI Gauss2 builds upon last year’s internal generative AI model, showcasing advancements in handling language, code, and images. The coding assistant ‘code.i’

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GitHub expands AI suite: Copilot goes multi-model, Spark debuts for web dev

AI News

From Copilot Workspace to multi-file editing to code review, security autofix, and the CLI, we will bring multi-model choices across many of GitHub Copilot’s surface areas and functions soon,” the CEO said. Advancements in GitHub’s AI capabilities mark a step forward in the evolution of development tools.

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AI in DevOps: Streamlining Software Deployment and Operations

Unite.AI

As emerging DevOps trends redefine software development, companies leverage advanced capabilities to speed up their AI adoption. That’s why, you need to embrace the dynamic duo of AI and DevOps to stay competitive and stay relevant. Training AI models with subpar data can lead to biased responses and undesirable outcomes.

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6 AI Models/Tools for Code Generation

Marktechpost

In the dynamic world of software development, a trend is emerging, promising to reshape the way code is written—text-to-code AI models. These innovative models leverage the power of machine learning to generate code snippets and even entire functions based on natural language descriptions. boilerplate.

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Top 6 Kubernetes use cases

IBM Journey to AI blog

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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