"100,000 lines of" shit mountains "and the cyberpyramid scheme of one-person companies: AI has become a layman's IQ tax?"

Recently, a group madness called "Cyberalchemy" is being staged on the Chinese Internet.

On Short Video platforms, this kind of narrative has become a new type of wealth code for harvesting traffic:

- "Xiaobai, who is not a computer major, relies on AI to generate 100,000 lines of code a month!"*
- "AI taught me to buy all the servers, so I can go online directly!"*
- "Use AI to realize a one-person company, and make more than 10,000 yuan a month!"*

The commonalities of these contents are extremely consistent: ** Turn engineering problems that require strict logic into simple physical handling tasks. **

As a developer who has been polishing the underlying logic, high concurrency architecture and system stability for a long time, after reading these suffocating operations, my intuitive feeling is only one sentence:

[WARNING]
In the wasteland of lack of logic, the more code AI generates, the thicker the "shit mountain" will be and the closer it will be to a systemic collapse.

##1. 100,000 lines of code: not productivity, but "electronic waste"

In the eyes of the layman, LOC (Lines of Code) is a badge to show off; but in real software engineering, ** the lines of code are maintenance costs and system liabilities **.

1.1 AI's "water injection" instinct: The disaster of lack of abstraction

Without architectural constraints and strict logical guidance, what big models are best at is not "optimization" at all, but frantically creating redundancy: duplicate logic, ineffective nesting, meaningless over-encapsulation...

The true appearance of the 100,000 lines of code you are proud of is often: ** 10,000 lines of logic that can barely run +90,000 lines of noise that have no abstraction ability **.

[! NOTE]
** Real engineering aesthetics **: An online education platform that has undergone rigorous testing and can withstand real traffic. Its core architecture is only 15,000 lines of code, and it can squeeze memory usage to the extreme. Only 13MB. And those 100,000 lines of unprocessed waste gathered by AI will consume several gigabytes of memory when running.

1.2 Entropy increase in complexity: exponential stealth bomb

The complexity of a system never increases linearly, but increases exponentially with the number of modules and coupling relationships. AI will only continue to add connection points to you, but it will never actively help you decouple. The result is: on the surface, you can run with two clicks, but in fact, as long as there is a trace of concurrent traffic, it will instantly become an "electronic urn" that cannot be debugged.

1.3 Concurrent and safe "streaking"

Message sequencing, deadlock prevention, data consistency, distributed locking... As long as any of these are missed, the system will fall into a hell mode of "occasionally making mistakes and cannot be repeated."

Not to mention the deep-seated SQL injections, permission crossings and plaintext transfers. Can people who even ask AI how to buy servers have the ability to audit these fatal loopholes? The so-called "one-person company" is nothing more than running naked on the Internet street with AI hanging.

##2. The illusion of "one-person company": a self-celebration without a closed loop of business

The biggest absurdity is not even at the technical level, but that they completely trampled on business common sense.

2.1 Cost of Customer Acquisition (CAC) Black Hole

In the real world, codes are not directly equivalent to banknotes. In an extremely convoluted stock market, the cost of acquiring traffic is alarmingly high. But those Short Video will never tell you: If you go to the platform and place a 150-yuan advertisement in order to earn a 100-yuan subscription fee, this "one-person company" is essentially doing cyber charity.

2.2 Complete zeroing of the moat

If your product is just "AI prompt words + simple additions, deletions, changes and inspections + patchwork UI", it means that you have no technical barriers. What you can "feed" in a month with AI, any regular development team can reproduce a more robust and cheaper version in a week. ** Without a logical moat, your project is commercially dead. **

2.3 "Survivor Bias" and Fraud in Publishing Earnings

** What you saw **: It was the fake income from the Stripe Sandbox test environment they carefully intercepted;
** What you didn't see **: It's high server bills, expensive API call fees, and a precipitous decline in user Retention rate.

##3. Uncover the trump card: This is a mature "harvesting industry chain"

Don't be silly, if a project can really make money lying down, why would he teach you at the top of his lungs? This is not a technical benefit at all, but a cyber pyramid scheme selling shovels.

** Create panic **: Use the narrative of "ordinary people can counterattack" and "you will be abandoned by the times if you don't get on the bus" to accurately hit your workplace anxiety.
** Hidden Cost **: Only show screenshots of success, and never mention the cost of trial and error, failure rate, and hell-level difficulty of post-maintenance.
** Complete the harvest **: Their real profit point has never been that broken project full of loopholes, but the AI prompt words classes sold to you, the high-priced "one-person company boot camp", and the Cloud Virtual Machine agent with a rebate link.

They package AI as an "automatic money-making machine", and what they sell is not the result at all, but the illusion that you are eager to get rich quickly.

##4. Rejecting the poison of meritocracy: Taking back your right to define

Behind this AI carnival lies an extremely morbid anxiety of "meritocracy": * Others use AI to make money, but you are still working because you are not smart enough or hard enough. *

This is an extremely vicious concept of stealing. Business success includes resources, timing, cognitive moat and luck, and cannot be overcome simply by "working hard to copy AI code." When you are kidnapped by this single criterion of success, you become the perfect consumable on this harvesting machine.

[! IMPORTANT]
** Maintain internal stability **: Recognize objective boundaries and no longer use false fanaticism to negate solid accumulation. Just because others are flying in the wind doesn't mean that you are wrong to be down-to-earth.

##5. Conclusion: AI will not destroy you, lazy thinking will

AI is a good tool, but only if you understand its positioning.

\text{AI is the lever of the strong} \neq \text{amateur prosthetic}

** Engineers use AI**: It is to build larger systems and free up energy to think about architecture.
** Speculators use AI**: They are just piecing together code and amplifying illusions.

One is solving problems, the other is multiplying risks. In this impetuous era, technical tools are readily available, but the ability to think independently, distinguish right from wrong, and put logic first has become an extremely scarce luxury.

Finally, I would like to give a word to those who are addicted to the "miracle of 100,000 lines of code":

**AI can help you type out code, but it can never build logic for you. ** When the system collapses due to an infinite cycle, because of confusion in consistency, and because it has no real value, you will discover that what really topples the building is never that there is not enough code, but that you don't think deeply enough.

Don't let your brain become a racetrack for others to harvest traffic.