According to Bloomberg, developer tool company StackBlitz Inc. is in discussions with investors and plans to raise funds at a valuation of $700 million. The company's CEO Eric Simons stated that the deal will be led by Emergence Capital and GV (formerly Google Ventures), with StackBlitz expecting to raise $83.5 million. The funding will also involve Madrona Venture Group, Con.

Recently, ByteDance launched an AI integrated development environment (IDE) called Trae, aimed specifically at Chinese developers. This product is designed to compete with internationally renowned tools such as Cursor and Windsurf, particularly focusing on the user experience of Chinese developers. In their daily programming, many developers often need to switch between English and Chinese. This mixed-language working mode, while common, poses inconveniences for many Chinese developers. Existing IDEs such as

In recent years, the programming capabilities of Artificial Intelligence (AI) have been continuously evolving, but they have not yet reached perfection. Recently, Max Woolf, a senior data scientist at BuzzFeed, discovered through experiments that if continuous prompts for 'writing better code' are provided to large language models (LLMs), AI can indeed generate higher quality code. This finding has garnered widespread attention, with renowned AI scientists emphasizing the importance of iteration and prompt design. In Woolf's experiment,

The highly anticipated Deepseek V3 is finally open source! This brand-new AI model has achieved significant breakthroughs in multilingual programming capabilities, even outperforming competitors like Claude 3.5 Sonnet V2 in the aider multilingual programming assessment, attracting widespread attention in the industry. It is reported that Deepseek V3 has made a qualitative leap in performance compared to previous versions. Deepseek V2.5 had a success rate of only 17% in the aider assessment, while V3 has surged to 4.

DeepSeek AI recently launched DeepSeek-V2.5-1210, an enhanced version of DeepSeek-V2.5, aimed at improving AI performance in math, programming, writing, and reasoning tasks. Earlier versions of the model achieved some success in solving math and reasoning tasks, but the stability of performance across various applications needed enhancement, especially in real-time coding and meticulous writing. These shortcomings underscore the potential for developing a more flexible and reliable AI model.

Tencent Cloud recently announced the launch of its AI coding assistant - Tencent Cloud AI Code Assistant. This tool aims to assist programmers in writing code by predicting and providing code suggestions, significantly enhancing development efficiency. The core advantage of this AI code assistant lies in its ability to deeply understand the context of the code, offering more accurate logical and grammatical code completion suggestions, surpassing traditional keyword-matching completion methods. It can also learn and adapt to a programmer's coding style and historical code patterns, providing customized code completions that align more closely with individual habits.

On December 5th, the Byte Bean Bag model team launched the latest code model evaluation benchmark - FullStack Bench, covering over 11 real-world scenarios, supporting 16 programming languages, and including 3374 questions. Compared to previous evaluation standards, this benchmark can more accurately assess the code development capabilities of large models across a broader programming domain, facilitating the optimization of models in real-world programming tasks. Current mainstream code evaluation benchmarks, such as HumanEval and MBPP, typically focus on basic and advanced.

At the 2024 Baidu World Conference, Baidu introduced an innovative no-code tool called 'MiaoDa', personally launched by Baidu founder Robin Li. This tool integrates three core functionalities: no-code programming, multi-agent collaboration, and multi-tool invocation, and was hailed by Robin Li as 'the most complex multi-agent collaboration tool in human history.'

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...

In the latest report from the developer platform GitHub, Python has successfully surpassed JavaScript to become the most widely used programming language. This shift is primarily attributed to the ongoing boom in generative artificial intelligence (AI). The increasing significance of Python in machine learning, data science, and scientific computing has propelled its rise in the open source community. GitHub notes that Python's popularity is linked to the growing number of STEM (Science, Technology, Engineering, and Mathematics) developers.