跪拜 Guibai
← All articles
Frontend · Backend · Programmers

AI Writes the Answers Now, So What Should Programmers Do? One 1024 Day Answer: Start Small

By 勇宝趣学前端 ·
Read original on juejin.cn ↗ Google Translate ↗ Alt translation

The practical consequence: naming one annoying recurring task and trying to save 30 minutes on it gives a testable response to AI anxiety, instead of another course purchase or a resignation made on imagination.

Summary

AI answers coding questions in seconds, and the question of whether programmers still have a career is openly circulating in China. On October 24, the unofficial Chinese holiday for developers, one frontend voice tells peers to treat the question as a practical one: side hustles are experiments, not lifelines; learning should be aimed at a task you can use immediately; and career changes should be tested in spare time before anyone resigns.

The advice on side income starts from what you already know: report automation for small teams, small tools that remove repetitive work, or writing up solved problems. Paid projects need explicit scope, deadlines, revision limits, and maintenance terms, because the real drain is a small request that grows into an endless project. The same caution applies to anything that demands big upfront payments or promises easy money.

The learning advice is equally concrete. Instead of filling bookmarks with courses, pick a repetitive task and let AI take the first pass, or build a small tool for a familiar business problem, then check whether it saved time or found users. The same applies to learning the industry you work in, since many 'build this feature' requests hide process, data, or handoff bottlenecks. The suggested first step for anyone unsettled by AI: pick one task that annoys you every week and try to shave 30 minutes off it, then record what happened.

Takeaways
— AI answers coding questions in seconds, and that has pushed the Chinese developer community to openly debate side hustles, new learning directions, and career switches.
— Side income should start from existing skills: report automation for a small team, tools that remove repetitive operations, or write-ups of solved problems; demand gets tested before money appears.
— Paid side projects should agree on scope, delivery date, revision count, and follow-up maintenance up front, because the real burden is a small agreed change expanding into an endless project.
— Side opportunities that require a large upfront payment, inventory purchases, or guaranteed easy income deserve suspicion; savings and after-hours time should not be committed before demand is validated.
— Learning should be driven by immediate use: let AI handle one repetitive task, or build a small tool for a familiar business problem, then check whether it saves time or gets used before deciding to learn more.
— Many feature requests are actually blocked by process, data, or inter-department handoffs; understanding the other person's real frustration has to come before technology can help.
— Career switches should be tested in spare time: take a small tool from requirements to willing users, build an AI app that solves one concrete problem, or take one clearly scoped freelance job before resigning.
— The recommended first move is to find a task that annoys you every week and try to save 30 minutes with AI or a small script, then write down whether it worked and where it got stuck.
Conclusions

This advice assumes someone who already knows a domain well enough to name a specific annoying task. AI becomes a lever only after that judgement exists, which is the same position many engineers outside China are landing on.

The side-hustle warnings about upfront payments, inventory, and guaranteed income read like a scam checklist. The risk being named is not failure to earn extra cash but losing savings and off-hours before demand is proven.

Testing a career change before resigning runs against the usual 'learn AI and switch' hype in Chinese dev circles. The method treats a career move as a small, reversible experiment rather than a leap of faith.

Concepts & terms
1024 Programmer Day
An unofficial Chinese holiday for programmers on October 24. 1024 equals 2^10, a number tied to binary and digital storage, and Chinese developer culture has turned it into a symbol of the profession; on this day developers post greetings and share career reflections.
Zhihu
China's largest question-and-answer platform, comparable to Quora. Programmers use it for career and technical discussions; the deliberately vague '某乎' in the original signals skepticism toward its anxiety-driven threads.
Source: juejin.cn ↗ Google Translate ↗ Backup ↗