No coding, design and develop a self-selected stock module.
- Last month, we experimented with cursor, but due to the limitations of the free quota, we didn’t develop overly complex features; we just did some basic testing. We discovered then that Byte also released similar products, both using the same large models – Claude-3.5 – at their core.
Byte’s product is called Trae, initially launched in the Mac version and finally released its Windows version in February of this year. Big companies are good because you can freely “white嫖” (literally translates to “free-eat”), without having to pay, with unlimited use of Claude-3.5 – this model performs quite well.
AI Development Over Two Years: Somewhat similar to the state before a Docker release – fragmented and rapidly evolving.
Artificial Intelligence (AI) has undoubtedly been one of the most hotly debated topics in the technology field in recent years, particularly over the past two years, with AI technology experiencing rapid advancements. Whether it’s deep learning, natural language processing, or computer vision and automated decision systems, the application scenarios for AI are constantly emerging. However, despite continuous technological breakthroughs, AI still faces a bottleneck similar to that of a Docker release – a lack of a killer app to truly ignite the market.
ollama local deployment of deepseek-R1
Ollama is an open-source AI tool designed to enable users to run and deploy large language models (LLMs) locally. Its goal is to provide a convenient and efficient way for developers to use models like GPT on their local machines without relying on cloud services. Ollama supports multiple models and focuses on optimizing performance, allowing even resource-constrained devices to smoothly run these models.
Cursor AI Programming IDE Trial
It seems like another year has passed, and the biggest change at work is a significant increase in AI participation. Previously, switching between different development languages required developers to be familiar with various language-specific API interfaces. Now, these basic code snippets can all be generated by AI, which is a huge blessing for developers.
ChatGPT As early as 2023, I’ve written two simple introductory articles about it. Now it’s been 25 years – how to put this… I haven’t felt a significant improvement.
AI Programming and Task Decomposition
Two years ago, I added a copy function to the site, which took me half a day of tinkering. Ultimately, the rendering effect wasn’t quite satisfactory, and as a somewhat mediocre frontend developer, I didn’t plan on improving it – if it worked, it was good enough. This year, I used AI to develop a mini-program, which has also made me more familiar with frontend development. I refactored it (the AI redesigned it).
Prompt Engineer
Just as we needed to learn the techniques of searching engines back then, we also need to learn some techniques for communicating with AI, providing reasonable and sufficient constraints, and efficiently obtaining the answers we need. If you look at it from a different angle, current AI is like a very good student with excellent memory – it has the ability to memorize everything. What we need to do is
AI-assisted programming, the evolution of productivity
“GitHub Copilot” was released less than two years ago, and “ChatGPT” has appeared. I don’t fully understand the underlying principles; I’ve been using them for a while. The two tools’ levels of assistance are completely different, but they have both