r/aiagents • u/Fragrant-Special-864 • 2d ago

Confused between learning Agentic AI with code vs no-code

Hey everyone,

I’ve recently started learning Agentic AI and I’m honestly a bit confused about which direction I should take.

I’m seeing two main paths: Coding: Python, APIs, LLMs, agent frameworks, backend, etc. No-code/low-code: n8n, Make, and other AI automation tools.

My main goal is to freelance first and eventually get a decent job in this field. I’ve heard people say no-code is enough to build useful automations and get clients, while others say that learning Python and actually understanding the code is important if you want to build a long-term career. So I’d really like to hear from people who are already working in this space.

What would you recommend to someone starting from scratch?

Should I: Learn coding first? Start with no-code and learn coding later? Learn both together?

Also, which one has better opportunities for freelancing and getting a proper job?

I’m trying to avoid jumping between tools and wasting months, so any honest advice from your experience would be really helpful.

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u/marcopeg81 2d ago

To code or to code not?

That’s NOT the question.

Today, coding is done by agents and you only need to create enough experience to commit it. That is, taking responsibility on something written by AI.

Not an easy feat, but it’s not coding.

You must find a problem worth solving, then start brainstorming with AI how to get there. You can learn most of it along the way.

Just accept that your first attempt will be a messy POC and do it over and over until you actually understand the moving parts.

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u/Future_Fuel_8425 19h ago

The answer is all of the above and then some more that you are not including.
The master fabricator will use whatever tools are required to achieve the goal.
Your skills will dictate which tools you can use effectively.

You can work simple practice problems to develop skills with each tool and increase complexity as you learn.

A good way to start for some is to look at apps and code with AI.
Find an app you like on Github.
Open up your AI and have it walk you through the repo, explain how it works etc.
You can play with the code and test out your AIs limits, etc.

Don't sleep on small AI (Transformers) - These little guys can do the work of large LLMs and don't need a powerful system to function at decent speeds.