Namraj Pudasaini
May 5, 2026
The language of the universal machinery on the planet is Programming. The term programming is takes task of coding through calculation of the result we like to achive. The process of the execution in the coding takes the input to render the output desired.
The importance of coding is immense. The movement of the cursor to write a beautiful programs without flaws is momentum. The energy of such programs are exhibited by the computer at runtime.
The evolution of the languages from C to C# , the names of languages like python, go and rust are popularized by the bunch of community who not only love coding but also spend a large part of life on coding.
I use AI to write code every day, and it has not made the skill less useful to me. It has made it more useful, because the bottleneck moved from typing to reviewing. When a model hands me forty lines, I have to answer the one question it cannot answer for me: is this right?
Take a small example. You ask for a function that fetches users and returns the active ones. The model writes it, the code runs, the page loads. But it pulls the whole table and filters in memory. With ten rows you notice nothing. With ten thousand you notice everything. Nothing there is broken enough to throw an error, and no test you did not write is going to catch it. You catch it because you know what a query costs.
The quiet mistakes are the same story. An off-by-one in a loop bound. A promise that is never awaited, so the function returns before the write finishes. An error swallowed by a catch block that logs and carries on. None of these crash. They produce output that looks fine and is wrong, and the only defence is somebody who can read the code and say what it actually does, line by line.
The bigger call is whether the suggested approach is sound at all. Ask a model how to store user sessions and it will hand you something that works. Whether it should be a cookie, a token, or a row in a table depends on things it does not know about your system — who your users are, what you already run, what breaks if it goes down. If you cannot reason about that yourself, you will accept the first plausible answer and find out later what it cost you.
That judgement is not magic. It comes from having built things, watched them fail, and understood why.
Pick one language and stay with it long enough to get bored. Python or JavaScript are both fine — the choice matters far less than sticking with it. Build something small that you actually want to exist, then break it on purpose and fix it. Read the error messages before you paste them into a chat window. Then paste them, once you have a guess about what they mean.
Learning to code in 2026 is not about out-typing a machine. It is about being the person who can tell whether the machine is right.