I hit a wall.
At 3 AM, staring at a screen full of code and three different paid AI programming tool windows open. One tool says my architecture is wrong, another points out syntax errors, and the last one just ignores me completely. I’m spending a chunk of money on this every month, yet I’m left with even more confusion.
In that moment, it hit me: the problem isn’t the tools at all.
Focusing on which tool to choose is like debating over which knife to buy without knowing if you need it for chopping vegetables, cutting trees, or performing surgery. If you're heading in the wrong direction, even the best knife is just a piece of junk.
So, seriously, which AI programming tool is the best?
The answer is: I don’t know. Because the question itself is flawed.
You need to ask yourself first: What exactly do you want to accomplish?
Scenario 1: You just want to be a “hands-off manager.”
“Download YouTube videos and convert them to text,” “Analyze WeChat chat logs,” “Automatically process Excel sheets”... for these specific and annoying tasks, you need a “super assistant.”
I’ve tried Claude Code. It’s fantastic. It feels like hiring a programmer who’s on call 24/7. You say, “Help me tidy up this video script, figure out what you need to install,” and a few minutes later, the script is in your hands.
But I have to mention that account stability is an issue that still needs to be resolved.
An alternative is Gemini. A friend of mine used it and whipped up a usable app in just four hours. His exact words were, “Just have hands and think a little.” This kind of “assistant” tool has one core quality: it understands plain language and gets the job done.
Scenario 2: You want to build something from scratch.
Whether it’s creating a website, developing a mini-program, or even launching an app on the App Store, you need a “partner,” not just a simple “errand runner.”
My go-to setup is ChatGPT Pro + Cursor.
On the right, ChatGPT Pro (especially the o1 model) acts as my “external brain.” I throw all my concerns about architecture and technical plans at it. It solves my “lack of brain capacity” issues.
On the left, Cursor is my “chief coder.” As soon as I chat with ChatGPT and come up with a plan, Cursor generates the code instantly.
This workflow is so efficient it’s almost scary.
Scenario 3: You want to scale one idea into a hundred.
You already have a working model, like a viral video. Now, you’re not thinking about making a second one; you want to create a hundred.
At this point, you need a “multiplier.”
Your goal shifts from “creating one product” to “establishing an automated production line for products.”
This is where Agents come into play—automating your entire workflow. This is also my core goal for the next six months.
This is the ultimate leverage that AI programming brings: economies of scale.
*But there’s a huge pitfall here. *
Many people, including my past self, get it wrong. We’re always chasing the “best” tool, spending two months researching and reading a hundred reviews, only to end up stuck.
In reality, tools are developed through iteration, not selection.
The information you gain from two months of research isn’t worth as much as two weeks of hands-on practice.
The market changes rapidly; by the time you “choose right,” the window of opportunity may have closed.
The right approach is super simple: identify which of the three scenarios fits your needs, pick the tool most likely to help you complete your first small loop, and get started—right now, immediately.
Using free tools is just fine.
DeepSeek, Doubao, Kimi—any of these work. Let AI help you create a simple webpage or process a spreadsheet. Experience the magic of “command and result.”
Finish first, then perfect. Get it running, then optimize.
*Another deeper misconception is that you think you need to learn Python from scratch for AI programming. *
Stop buying “Python for Beginners” already. Seriously. That book's fate is to prop up your monitor.
The essence of AI programming is “directing intelligent agents to complete tasks using natural language.” Your core skills are breaking down problems, describing requirements, and debugging prompts. Be the “commander,” not just a “typist.”
Some people spend 80% of their time getting GPT-o1 to help them write project documents, then feed those documents to AI for execution. They command, and AI does the work.
*Lastly, let’s talk about expenses. *
Is spending a couple hundred dollars a month too much? If you see it as a “consumption,” like buying a cup of coffee, then yes, it seems pricey. But if you view it as an “investment” in your future productivity, it could be one of the best returns you’ll see in years.
My current setup costs me less than $1,000 a month—cheaper than the lowest-paid employee at my company. Yet the value it creates far exceeds that number.
AI has leveled the playing field.
Now, a high school student who knows how to use AI can stand on the same line as a traditional programmer with ten years of experience. The outcome is uncertain; you and I both have a chance to be the dark horse.
But the key is, you need to get on the horse and start running.
Stop spinning in circles, asking which horse is the best. Pick one that looks rideable and climb on. The path is made by running.
Starting today, stop researching and just dive in. Trust me.
Top comments (0)