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Vibe Coding, Vibe Checking, and Vibe Blogging

O'Reilly Media - Ideas

Some of you might have read my recent piece for O’Reilly Radar where I detailed my journey adding AI chat capabilities to Python Tutor , the free visualization tool that’s helped millions of programming students understand how code executes. Let me walk you through a recent example that perfectly illustrates this approach.

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HiPeople picks up $3M seed to automate reference checks

TechCrunch

HiPeople , a HR tech startup based in Berlin that wants to automate the reference checking process, has raised $3 million in seed funding. HiPeople says the investment will be used to support growth so that more recruiters can hire remotely using automated reference checks. It follows a $1.1 million pre-seed in late 2019. In the U.S.,

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. This time efficiency translates to significant cost savings and optimized resource allocation in the review process.

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Effective Software Testing – A Developer’s Guide

Henrik Warne

I recently finished Effective Software Testing – A Developer’s Guide by Maurício Aniche , and I really liked it. I have been coding for a long time and I think I have been writing pretty good tests for the features I have implemented. The book apparently grew out of lecture notes from a course on software testing.

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Decoding Code Review and Pull Requests - a handbook for Software Engineers and Tech Leads

A complete handbook on implementing a code review culture in your organization. Written by Elaine Watanabe, it's a practical e-book with useful examples and references, and a must-read for all tech teams.

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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning - AI

In this post, we explore how to integrate Amazon Bedrock FMs into your code base, enabling you to build powerful AI-driven applications with ease. For this post, we run the code in a Jupyter notebook within VS Code and use Python. This client will serve as the entry point for interacting with Amazon Bedrock FMs.

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John Snow Labs Releases Generative AI Lab 7.0 to Help Domain Experts Evaluate and Improve LLM Applications and Conduct HCC Coding Reviews

John Snow Labs

New capabilities include no-code features to streamline the process of auditing and tuning AI models. Key features of the release include: Customizable project templates for LLM output evaluation with support for HTML content, including hyperlinks to references. Two modes are supported: individual and side-by-side response evaluation.