๐ง๐ต๐ฒ ๐ฆ๐ธ๐ถ๐น๐น ๐๐ ๐๐ผ๐ฒ๐ ๐ก๐ผ๐ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ฟ๐ผ๐บ ๐ฌ๐ผ๐๐ฟ ๐๐ผ๐ฑ๐ฒ
AI writes code. AI explains functions. AI writes tests. AI refactors components. AI creates docs.
AI knows your code. But AI misses one thing. It misses the why.
Fast coding is no longer a win. AI writes thousands of lines in seconds. Typing is not the problem. Deciding is the problem.
Ask yourself:
- What should you build?
- Why build it?
- Which tradeoffs matter?
AI sees your classes and APIs. AI does not see:
- Decisions from three years ago.
- Why a feature exists.
- How users act.
- Why the business chose one path.
This knowledge lives in meetings. It lives in customer feedback. It lives in team talks.
Example: Code has a legacy payment flow. AI explains what it does. AI fails to explain:
- Why it exists.
- Which risk it avoids.
- Who depends on it.
Human value is shifting. Stop focusing on writing code. Start focusing on making decisions.
Spend time on:
- System design.
- Tradeoff evaluation.
- Architecture.
- Requirement clarity.
Coding is not engineering. Engineering asks:
- Is this scalable?
- Is this maintainable?
- Is this worth the effort?
Context changes everything. Decision quality is your new edge.
The question is no longer if you build it. The question is if you should build it this way.
Focus on:
- System understanding.
- Connecting business goals to tech.
- Managing complexity.
AI reads your code. AI does not read human reasoning. This is your value.
Source: https://dev.to/md_mijanur_molla/the-new-skill-ai-cant-learn-from-your-codebase-4od0