2026, the era of hand-coding is truly over!

Hello everyone, I’m luckySnail. By 2026, handwriting code will be completely a thing of the past! Even Evan You is using a Coding Agent for development. If you still think AI can only write front-end code, you’re really missing the mark. AI now writes both front-end and back-end code quickly and well. If it were just about writing code well, that wouldn’t be enough to upend the programming industry. But in software system design, as long as you give precise context and constraints, Claude Opus 4.6 or Codex 5.3 also does an excellent job. For new projects backed by some of the capabilities in superpowers, AI can handle complex tasks in one go.

However, all of this started with the release of Claude Code in May 2025. It’s been less than a year, and I’ve never seen anything evolve this fast. The scariest part is that OpenAI’s GPT-5.3-Codex is self-evolving. If it keeps improving on its own, AI will only get smarter. In pure programming, AI will crush every single programmer.

If intelligence is no longer scarce in the future, we ordinary programmers will truly become the “textile workers” of the new era! At the current insane speed of evolution, intelligence will soon become as ubiquitous as water and electricity — indispensable to everyone. By then, code will become extremely cheap.

If programmers like me are the new textile workers, let’s take a look at how those textile workers transitioned back in history. During the Industrial Revolution, British textile workers violently resisted machines, but that didn’t stop industrialization. The textile women adapted to the times and took on new identities:

1. Machine operators: They became managers, maintenance workers, and factory overseers. Their skill shifted from “weaving by hand” to “managing the loom.”
2. Moving into new industries: Scale created new sectors — railways, coal mining, chemicals, retail — which expanded massively and absorbed a huge workforce.
3. Entering the service industry: Industrialization gave rise to a middle class that demanded education, healthcare, entertainment, catering, etc. These fields created many new jobs.
4. Becoming new capitalists: Some people opened textile factories, became traders, or built brands — amassing huge wealth from the new productivity.

Where do today’s programmers go from here? The core is to do what AI can’t do. We can be:

1. System architects: Since someone (or something) now writes the code, we move up to system design — creating systems that meet business needs and are maintainable in the long term.
2. Domain experts: Just knowing tech is no longer a moat. You need to understand the business and become an industry expert. Clients will trust me over AI.
3. Agent managers: As agents mature, our job becomes managing multiple well-scoped agents to get work done.
4. AI creators: AI is already incredible at generating images, video, and text. For imaginative people, the barrier to turning ideas into creations has dropped dramatically.
5. Agent engineers: OpenClaw went viral because people want an agent that can operate a computer and do things for us like a human. Virtual companions built on OpenClaw are also a great direction — persistent memory makes AI feel more like a real person. Demand for agents will explode, creating huge needs for agent development. I think this is a very promising career pivot.

In short, if all you can do is write code, you’re stuck. You need to use the latest AI tools to solve complex problems and boost work efficiency.

Following this logic, the essential skills we should have are: ● Energy management ● AI tool usage ● Complex problem-solving ability ● Judgment ● Aesthetic sense and taste ● Industry knowledge and experience

From this perspective, this era is really unfriendly to new programmers. In the end, I hope we can all find our place in the AI wave and do what we love.