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AWS AI Labs recently introduced SWE-PolyBench, a multilingual open-source benchmark designed to provide a more comprehensive framework for evaluating AI programming assistants. With advancements in large language models (LLMs), AI programming assistants capable of generating, modifying, and understanding software code have shown significant progress. However, current evaluation methods remain limited, with many benchmarks focusing solely on single languages like Python, failing to offer a complete picture.

Google's new free AI programming assistant, Gemini Code Assist, offers users 180,000 monthly code completions to boost productivity.

Recently, AI programming assistants have become incredibly popular, claiming to help programmers write code and improve efficiency. Many programmers even consider it a 'savior', eager to use it for coding every day. However, a study from Stanford University has doused the enthusiasm of these 'zealous fans' with cold water: AI programming assistants may be a 'security nightmare'! Stanford researchers gathered 47 programmers to complete five security-related coding tasks, covering Python, JavaScript, and C languages. The results revealed...

Are you looking for tools to enhance your programming efficiency? I highly recommend trying DevKit! This AI-powered developer assistant has completely transformed my programming experience, and I'm excited to share my genuine thoughts. DevKit (https://www.getdevkit.com/) is not just a tool, but more like a programming partner. It integrates advanced Large Language Models (LLMs) and over 30 convenient mini-tools, covering all aspects of the development process.

As AI continues to improve its coding capabilities, the structure of software development teams is facing significant changes, with the prospects for junior developers and Quality Assurance (QA) positions becoming precarious. An increasing number of Chief Information Officers (CIOs) and heads of development teams are indicating that with the widespread adoption of AI assistants, they will reassess the composition of their teams, which will mainly rely on AI experts and senior developers to oversee AI-generated code.

Today, Baidu launched the AI programming assistant tool, Baidu Comate, based on the Wenxin large model. This tool aims to provide features such as automatic code generation, unit test generation, comment generation, and intelligent Q&A. It supports hundreds of programming languages, significantly enhancing coding efficiency and making programming more efficient and convenient.

GitHub has announced the expansion of the public beta of its AI programming assistant Copilot Chat to individual users. Copilot Chat allows developers to interact with an AI assistant while writing code, offering various programming help. Individual users on GitHub can experience this feature by subscribing to the Copilot service for $10 a month or $100 a year. The AI programming assistant has become a popular application area, providing more support and convenience to developers. GitHub's initiative further promotes the application of AI technology in programming.