📚 Code Development

AI programming assistants have become powerful tools for developers. GitHub Copilot, ChatGPT, and other tools can:

  • Quickly generate code snippets, significantly improving development efficiency
  • Automate repetitive coding tasks, allowing developers to focus on business logic
  • Provide code review and optimization suggestions, helping to identify potential issues
  • Lower the learning curve for programming, enabling beginners to quickly get started with complex projects

🏠 Impact on Daily Life

AI is quietly changing our lifestyle:

  • Work Efficiency: Document writing, email replies, meeting minutes, and other text-based tasks are greatly accelerated
  • Learning Methods: Personalized Q&A, explanation of concepts, making learning more convenient
  • Creative Assistance: From copywriting to image design, AI becomes a powerful assistant for creative work
  • Decision Support: Data analysis, plan comparison, helping to make more informed choices

💡 The above two sections were directly generated by AI

💭 Personal Thoughts and Experience

From Skepticism to Amazement

When I first experienced ChatGPT at the end of 2022, I felt many limitations in handling questions and generating responses. The “rambling” auto-fill for the sake of output was common.

With the rapid iteration of various models, AI products began to flourish. Especially after personally using Copilot Pro integrated with VS Code, the feeling was indescribable—it’s incredibly powerful!

A Qualitative Leap in Productivity

Previously inefficient document output and code debugging processes have become smoother and more seamless, greatly improving production efficiency. Through optimized content, I can compensate for my own gaps and shortcomings, significantly broadening my horizons. With ad-filled search engines, irrelevant search results, and messy ranking, AI chat web pages are gradually becoming new gateways for information retrieval. Just as many users treat Xiaohongshu as the new “Baidu,” in just a few years, Xiaohongshu’s search volume has far exceeded Baidu’s.

For complex problems, manual decomposition and intervention are still needed to use it better. In the Chat or API interface mode of various AI tools, how to continuously optimize and inherit output based on multiple prompts in the same session tests one’s “internal skills.” On this point, if you pay a little attention, you can clearly feel the differences.

A Portrait of AI Tools

Various “AI brothers” have their own characteristics. How to interact with them appropriately requires continuous exploration and reflection:

  • Verbose Claude - Detailed answers but slightly lengthy
  • Forgetful Gemini - Prone to losing context
  • Distracted Grok - Sometimes witty, sometimes off-topic
  • Stable GPT - Reliable work partner
  • Fast-growing Copilot - Best programming partner
  • Dominant Cursor - Legendary powerful tool

Technical Anxiety and Life Reflections

With the popularization of intelligent video subtitle translation (farewell to mechanical translation), text-to-image and text-to-video technologies, I suddenly felt a sense of powerlessness—the anxiety of an individual facing an unstoppable trend.

But on second thought, work and coding may not be everything in life. How to use the tools at hand more efficiently and live one’s own life well is the key. Introducing AI into all aspects of life and using it well might bring about a “qualitative change” in life. As the book Same as Ever says, some primitive things remain unchanged, and there is no need to be overly anxious.

Those who should be anxious are not us, but the producers of these tools. They need to continuously iterate and adjust, otherwise, being eliminated is only a matter of time.

💭 This article used AI for format adjustment, greatly saving optimization time. Gradually, I feel less motivated to write articles. I wonder if this is also a change.