The Agentic AI is built for tasks like web development, mainly HTML, CSS, and JavaScript. If you go beyond that, such as using a different language or working on a complex project, the AI will first tell you itβs not feasible. And even if it does try to implement it, the result will have thousands of errors, to the point where youβll wish you had written the code yourself. At that stage, you realize itβs easier to code it on your own than to fight the AI through hell especially the Agentic AI and the manual method is a bit powerful because you control and ask what to add or to code next etc.
Building and experimenting with minimal, no-install hardware testing tools.
Currently working on a dedicated mouse polling rate testing tool (mousepollingratetest.com).
Easier to code it on your own than to fight the AI" β I felt that in my soul. π
Even within JavaScript (which it's supposed to be good at), as soon as I stepped outside standard DOM manipulation and tried to implement the 1000Hz polling algorithm, the Agentic AI completely lost the plot.
It kept aggressively applying "fixes" that introduced race conditions I didn't have before. I eventually had to stop the agent, revert the files, and manually guide it logic-block by logic-block. The "manual method" is basically damage control
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The Agentic AI is built for tasks like web development, mainly HTML, CSS, and JavaScript. If you go beyond that, such as using a different language or working on a complex project, the AI will first tell you itβs not feasible. And even if it does try to implement it, the result will have thousands of errors, to the point where youβll wish you had written the code yourself. At that stage, you realize itβs easier to code it on your own than to fight the AI through hell especially the Agentic AI and the manual method is a bit powerful because you control and ask what to add or to code next etc.
Easier to code it on your own than to fight the AI" β I felt that in my soul. π
Even within JavaScript (which it's supposed to be good at), as soon as I stepped outside standard DOM manipulation and tried to implement the 1000Hz polling algorithm, the Agentic AI completely lost the plot.
It kept aggressively applying "fixes" that introduced race conditions I didn't have before. I eventually had to stop the agent, revert the files, and manually guide it logic-block by logic-block. The "manual method" is basically damage control