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The Rise of AI-Powered Coding: Efficiency or a Cybersecurity Nightmare?

Unite.AI

How AI is Transforming Software Development AI has gradually become an essential part of software development, evolving from simple tools that handle syntax corrections and auto-formatting to advanced systems capable of generating entire code blocks. One of the most significant advantages of AI-powered coding is speed.

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Scott Stevenson, Co-Founder & CEO of Spellbook – Interview Series

Unite.AI

What initially attracted you to computer engineering? I loved video games as a kid, and was inspired to learn how to make them as a teen–that set me on the course of becoming a software engineer. I'm drawn to the profession's inherent creativity and also appreciate the hardware aspect intertwined in computer engineering.

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MetaGPT: Complete Guide to the Best AI Agent Available Right Now

Unite.AI

To actualize an agile, flexible software architecture that can adapt to dynamic programming tasks. Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs. The post MetaGPT: Complete Guide to the Best AI Agent Available Right Now appeared first on Unite.AI.

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AI and coding: How Seattle tech companies are using generative AI for programming

Flipboard

Prompt: “A robot helping a software engineer develop code.” ” Generative AI is already changing the way software engineers do their jobs. The auto-complete and auto-suggestions in Visual Studio Code are pretty good, too, without being annoying. Made with Microsoft Bing Image Creator.

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Introducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker

AWS Machine Learning Blog

Auto code completion – It enhances the developer experience by offering real-time suggestions and completions in popular integrated development environments (IDEs), reducing chances of syntax errors and speeding up the coding process. The following code snippet shows the training API.

Python 88
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From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams

Towards AI

We are data wranglers at heart, not necessarily software engineers by training, and best practices for reproducibility can sometimes get pushed aside in the heat of exploration. As a result, I turned to VS Code, which offers a more robust environment for teamwork and adherence to software engineering principles.

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Introducing automatic training for solutions in Amazon Personalize

AWS Machine Learning Blog

Create a solution To set up automatic training, complete the following steps: On the Amazon Personalize console, create a new solution. To set up auto sync, complete the following steps: On the Amazon Personalize console, create a new campaign. Pranesh Anubhav is a Senior Software Engineer for Amazon Personalize.