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.

Recently, the AI programming tool Cursor has been gaining traction, quickly becoming the focus of the programming and artificial intelligence fields. Cursor is a code editor based on VS Code that brings many powerful features to AI-assisted programming, exciting developers. Recently, renowned podcast host Lex Fridman had an in-depth conversation with four founding members of the Cursor team, discussing their innovative journey and future plans. The story of Cursor dates back to 20

Recently, the famous programming competition platform Codeforces made an important decision - to prohibit the use of artificial intelligence (AI) in programming contests. With the rapid enhancement of AI programming capabilities, Codeforces founder Mikhail Mirzayanov stated that this decision is necessary as the development of neural networks has reached 'a new height that cannot be ignored'. Image source note: The image is generated by AI, image authorized by service provider Midjourney. This new regulation mainly targets the participants of the competitions.

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.

AI programming sector experiences significant funding surge as Codeium, a new unicorn, secures $150 million at a valuation exceeding $1.25 billion. Led by General Catalyst with participation from Kleiner Perkins and Greenoaks, this round highlights market optimism for AI programming technology. Codeium's platform leverages its proprietary code models to simplify software development and enhance developer productivity. The funds will accelerate pr....

Magic, a startup focused on generative AI programming, has announced the completion of $320 million in funding, bringing its total financing to nearly $465 million. This round of funding was led by former Google CEO Eric Schmidt, with participation from several well-known investors. Magic's core technology, the Long-Term Memory Network (LTM), can handle vast amounts of data and avoid bias when generating code. Its latest model, LTM-2-mini, can process 100 million tokens, equivalent to 10 million lines of code or 750 novels. In partnership with Google Cloud, it plans to establish two '

AI code generation startup Cursor successfully raised $60 million in Series A funding, with investors including Andreessen Horowitz, Thrive Capital, and OpenAI. Cursor aims to simplify software development through advanced AI technology, with a platform that automatically searches for and generates programming code, significantly improving development efficiency. This funding round attracted several industry heavyweights, including Google's Jeff Dean and Meta.

According to research by cloud security company Checkmarx, although 15% of companies explicitly ban the use of AI programming tools, nearly all development teams (99%) are still using these tools. Only 29% of companies have established governance frameworks for generative AI tools, while 70% of companies have not developed a centralized strategy, leading to ad-hoc procurement decisions across departments and a lack of unified management. Security concerns are increasingly being raised, with 80% of respondents worried about potential threats posed by AI, especially the 'hallucination' issue. Despite these worries, 4

Recently, AI programming startup Anysphere announced that their AI code editor Cursor has gained significant attention and successfully secured a new round of funding from renowned venture capital firm A16z, with a valuation of at least $400 million. Cursor is used by multiple large tech companies, including OpenAI and Perplexity, demonstrating its wide application in the engineering community.Product Entry: https://top.aibase.com/tool/cursor-sh Anysphere aims to help developers improve their wo

ChinaZ.com (Site Editor's Home) July 9 News: Poe recently launched an innovative feature called Previews, offering users an unprecedented interactive experience. This feature allows users to directly view and operate web applications generated by AI during chats, marking a new era for AI social interaction.The core highlight of the Previews feature lies in its intuitiveness and ease of use. Users can view and interact with AI-generated web applications in real-time within the chat interface, jus

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.

Nvidia, in collaboration with Hugging Face and ServiceNow, has released the StarCoder2 model. StarCoder2 can perform tasks such as code generation, completion, and debugging. The StarCoder2 series includes models with 3 billion, 7 billion, and 15 billion parameters, enabling developers to enhance their work efficiency. StarCoder2 is licensed under the BigCode Open RAIL-M license, allowing free access and usage.

Baidu announces a limited free trial for the AI programming tool Comate, running from November 11 to November 20. Comate helps developers improve productivity by automatically generating code, comments, and documentation. Inviting others to register can earn more free trial time, with a maximum of 6 months. Comate also helps reduce the need for manual testing by automatically generating unit test code. Baidu states that developers' work efficiency increases when using Comate.

The Mojo programming language aims to be a superset of Python for AI development, supporting integration with Python code and suitable for performance-critical system development. Mojo has previously launched on Linux and is now further expanding to the Mac platform, providing AI developers with more programming language options. Mojo is led by Chris Lattner, who was instrumental in the development of the Swift language.

GPT Pilot is a revolutionary programming tool that can increase development speed by 20 times. It collaborates with developers to write most of the code in applications. With flexible requirement selection, it can create versatile applications. It employs test-driven development to ensure the quality of the generated code. It represents the future direction of application development, showcasing the perfect collaboration between developers and AI.

A study on using OpenAI's ChatGPT for game programming has revealed challenges faced by AI in helping amateurs create complex game applications. The research generated the Flappy Bird game 35 times, finding that AI struggled to enable non-programmers to create intricate games easily. Despite its potential, AI programming tools require further research and improvement for creating complex programs. The findings indicate that non-programmers find it difficult to leverage ChatGPT systematically without prior programming knowledge.