Coding is the New Literacy. Why the Era of 'Just Developers' is Coming to an End
Coding is the New Literacy. Why the Era of 'Just Developers' is Coming to an End
Let's be honest: the ability to write code is ceasing to be an elite superpower. π We are on the verge of a transformation that many industry professionals prefer to ignore, hoping for the complexity of 'legacy' and the uniqueness of their skills.
But the reality is: coding is becoming a basic skill, akin to being able to use a search engine or Excel spreadsheets. π‘
From Writing to Orchestration
Previously, development was like laying bricks by hand. Today, LLMs (Large Language Models) generate virtually any code in any language. π€ Yes, heavy architectures and rare stacks remain, but that's not a 'ten-year' problem. It's a 'next model' problem.
The most interesting things are now happening not within code files, but in how processes are changing. A modern team is no longer a group of people writing lines of code. It's an orchestration system where:
β¨ Agentic sessions: Dozens of parallel processes work on different features simultaneously.
π Automated loops: Review and fix cycles occur without human intervention.
π Nightly explorations: Thousands of sub-agents scan code while the team sleeps, checking tests and generating tasks.
This no longer looks like classic 'development'. It's managing an intellectual factory.
The Death of the 'I Don't Code' Role Model
The old model of teams, where rigid boundaries existed, is breaking down right now.
π¨ Designer 'doesn't code'? Not anymore.
π Product owner 'doesn't code'? Forget it.
π Analyst 'doesn't code'? Unacceptable.
Code is becoming the interface to the system. If you understand the business logic, you can (and should) express it through code with the help of AI. π οΈ
Important shift: The best person to create accounting software is now not a 'senior developer', but a strong accountant with AI. Why? Because the most complex part is not the language syntax, but understanding the domain. π§
Organizational Advantage Instead of Technological
Many underestimate that AI changes more than typing speed. It changes the organizational structure. The old advantages of SaaS giants are starting to weaken: π
| Old Advantage | What's happening now |
|---|---|
| Switching costs (hard to migrate) | A model can reassemble a process for a different system in days. |
| Process moat (unique processes) | AI copies and optimizes logic faster than you implemented it. |
What remains valuable?
π€ Network effects.
β¨ Brand and trust.
π Distribution channels.
π Unique, proprietary data.
π Scale.
Small and Dangerous
This is why AI-native teams of 5-10 people are more dangerous to corporations today than ever before. β οΈ They can deliver a product at the level of a large organization, without the bureaucratic ballast.
Corporations will be restructuring for years - and not because of technology, but because of people and entrenched processes.
AI advantage is no longer a model advantage. It's an organizational advantage.
Simply buying everyone subscriptions to Cursor or Claude is not enough. If your processes remain the same, you will just make old mistakes faster.
Conclusion
In a couple of years, the phrase 'I don't know how to work with AI' will sound as strange as 'I don't know how to use the internet' or 'I don't write emails.' π©
The winners will not be those with 'better AI' (models are more or less the same for everyone), but those who are first to restructure their work around an agentic system. π
What do you think will be the main 'moat' for companies in the next 3 years? π€