Get a powerful assistant ready to help you in any programming task. Try For Free FEATURES Get context-aware AI assistance. AI supports development in Frontend, Backend, Database, API, Infrastructure, & beyond. Connect with Github, Gitlab, or Bitbucket to maintain your code context. ...
Most enterprises rely on large volumes of aging code that are a challenge to debug, maintain, and update. At IBM Research, we’re using AI to help modernize software stacks, designing automated programming and refactoring systems to help businesses keep
参考资料:https://www.businessinsider.com/google-ai-write-fix-code-developer-assistance-pitchfork-generative-2022-11 https://www.bloomberg.com/news/articles/2022-11-01/microsoft-wants-ai-to-change-your-job-if-it-can-work-out-the-kinks https://www.theverge.com/2022/11/8/23446821/microsoft-o...
在这种意义下,遗留代码(legacy code)指的是:虽然你还保留着代码和文档这些“文物”,但支撑它们的那套“理论”已经随着原作者的离开而失传了。这也就意味着,你不再有权限对系统进行“深层改进”,只能做些修补和维护。 那么,这种思想对于大语言模型(LLM)时代意味着什么呢? 从Naur 的角度来看,LLM 是否也必然缺乏“...
Best for: Statistical computing, data analysis, and visualization in AI projects 10. Scala Scala's functional and object-oriented programming features make it a suitable AI language. It allows programmers to write clear and efficient code, leading high-performance apps. Scala also supports immutabilit...
Best AI Code Completion Tool: Tabnine Best AI Code Generation Tool: Amazon CodeWhisperer Best AI Debugger Tool: GitHub Copilot 1.Tabnine Tabnine is an AI tool for coding that helps developers write code faster and better, which boosts productivity. Tabnine works with many programming languages, ...
Code Llama是Llama 2强化了代码能力的版本。论文地址:https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/ Meta从训练Llama 2代码能力的数据集中提取了更多的数据,训练了更长的时间,得到了Code Llama。它可以根据代码和自然语言提示(比如「编写一个输出斐波那契数列的函数」)...
For its part, Microsoft is also using GPT-3 to power what it calls “no code/low code” programming. Charles Lamanna, who leads the work, envisages a bright future of cheaper software created by untrained “citizen developers”. Some folk fear an alternative, darker outcome. Might AIs even...
AI 友好架构是一种将成熟的软件架构原则与生成式 AI 的能力相结合并进行调整的软件构建方法。其核心目标是创建一个既便于人类协作,又能被 AI 高效理解、分析、生成和持续演进的代码资产与系统环境,从而显著提升开发效率。 生成式 AI 在你的代码库上工作不好存在诸多原因,其中一个就是:你的代码库不够 AI 友好。
提高AI编程的效率和性能。此前,UC伯克利曾训练AI刷LeetCode,总共5000道题的测试中,AI能做出15%。不知道使用这个数据集训练,AI编程的能力又会达到什么水平呢?论文地址:https://arxiv.org/abs/2106.05784 开源数据集链接:https://github.com/microsoft/PythonProgrammingPuzzles ...