Low-Code, No-Code Platforms Fail When It’s Time to Scale
DHAKSHIN V
Dynamic Android Developer || AI & ML Enthusiast || Full-Stack Development Experience || @OneDot Communication || Deploying innovative solutions
LC/NC platforms have to adapt to the changes all developers are going through - AI
With tools like Cursor, Claude, and ChatGPT canvas are on the boom, allowing users to build software using natural language, it feels highly reminiscent of the times when LC/NC platforms also lowered the barrier to entry for app development and made it easier for companies to teach their developers
Relevance of LC/NC Tools in the AI Era:
According to a Reddit user, even when he got help from AI to write a custom function for the no-code platform, it failed terribly. Two days later, he started writing the code himself and it worked out pretty well
Will LLMs replace LC/NC Platforms?
LC/NC platforms have to adapt to the changes all developers are going through – the AI change. Jinen Dedhia, the founder of DronaHQ mentioned on HackerNews that he also believes that LLMs can remove the need for LC/NC platforms and the only way to stay
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But I do see the merit in this thinking that LLMs can eat LCNC platforms for breakfast. However, I am excited to see how with time near perfect applications can be churned out with about 80-90% work done and engineers can figure the last few miles
This is the reason we are seeing tools like toddle and Apptile, which are a little different from the traditional LC/NC platforms. Samyam Annappa, founder and CTO at Apptile, told AIM that coding typically makes up less than 25% of the total project cost.
Similarly to Apptile, tools like toddle, which is not entirely an LC/NC platform but something in between LC/NC and traditional platforms, allows users to build specific functions and host your infrastructure, and has plans to go open source by the end of 2025, so you can actually own your software
In fact, the LC/NC platforms produce very well-structured code behind the scenes and they can train LLMs to build apps following their well defined structure, which means their apps can still take advantage of the LLMs but will have less bugs than just letting the LLMs produce a stand-alone.
Of course, the LLMs can produce more versatile apps than LC/NC platforms but considering LLMs as a competitor to LC/NC platforms might not be a correct.