Vibe Coding With AI Agents -LOL

Charlene — Tue, 01 Apr 2025 16:02:12 +0000

What Are AI Agents

“AI agents are software systems that use artificial intelligence to pursue goals and complete tasks on behalf of users, often by making decisions and taking actions autonomously” - Google AI Search Slop

Ok, technically, the above definition is ‘correct.’ However, the term ‘AI agent’ is used differently among the cool kids.

Since the emergence of ChatGPT, an entirely new linguistic landscape has emerged. The field has introduced novel terminology including prompt engineers, AI agents, and vibe coding(Coding with an AI agent). To better understand these concepts, let's examine some of the most prominent 'AI agents' in use today.

Replit AI

Use natural language and chat to the agent to make apps and sites. No-coding required.

Tell Replit Agent your app or website idea, and it will build it for you automatically. It’s like having an entire team of software engineers on demand, ready to build what you need — all through a simple chat.

Take a look. It's impressive

Bolt AI

Prompt, run, edit, and deploy full-stack web and mobile apps using natural language.

Using a simple, chat-based environment you can prompt the AI agent to build whatever you want.

Bolt supports many of the most popular web languages and frameworks, as well as integration with Netlify for deployment and hosting; Supabase for database, auth, and file storage.

Using plain English…everyday language you can build a website or app. Just like that. Take a look.

Cursor

Cursor is an AI code editor with a built in agent. Once again, you can chat with the agent and get it to complete tasks for you. “Install Tailwind CSS.” Done. “Create a For Loop that loops over this array.” Sorted.

Curious? Take a look

You describe it and the AI agent will build it. What’s not to love.

Now I’m no luddite, but there is a huge caveat to all this. We need to address the🐘in the room.

The hype behind these AI agents has been alarming. We have people with no coding experience, vibe coding their way to building their first app. Building without tests and building without structure or thought. Just chatting with the AI agent and hoping something materialises.

There will be websites and apps released and out in the wild for unsuspecting people to buy and use.

Lots of people are claiming that learning to code is now a waste of time and money. Some are even saying that it’s only a matter of time before most web developers and software engineers are all made redundant.

There was a lot of gleeful chatter at the prospect of highly paid software engineers losing their jobs to someone with a £20 AI agent subscription.

However, LOL. This is wrong. You still need to know how to code. These agents are a tool, and you get the most out of them, if you know how to code.

Computational thinking, learning to code are still very profitable and valuable skills worth acquiring.

Here are a few Vibe Coders finding out the hard way, what happens when you try and cut corners.

What Can Go Wrong

Quiz Time
A vibe coder posted this in a user forum, asking for help. Hands up if you can see what’s wrong here🙋🏿‍♂️🙋🏾‍♀️🙋🏽🙋🏼‍♂️🙋🏻‍♀️🙋 There are two things that made me scream. Can you see them?

Post in the comments what are your thoughts about this vibe coder. What advise(be nice) would you give them?

The future is very bright for those who are pursuing careers in programming or data. So keep coding

Learn Python- Thank Me Later

Charlene — Wed, 19 Mar 2025 12:15:48 +0000

Python consistently ranks as the #1 language to learn if you are interested in the growing field of data analytics, data science, Machine Learning & AI. Even outside of these fields, Python is always among the top three most-used languages.

Why is Python So Popular

1. Versatility Across Industries

Python is used in web development, data science, machine learning, automation, cybersecurity, finance, and more. This makes it attractive to job seekers since they can apply it in multiple fields.

2. Simplicity & Readability

Python's syntax is beginner-friendly and resembles natural language.

Its readability makes it easy to learn and use, even for non-programmers (e.g., business analysts, researchers).

3. Strong Demand in Data Science & AI

Python dominates data science, machine learning, and AI, fields with huge job opportunities.

Libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch make it the preferred language in this space.

4. Huge Ecosystem & Libraries

Python has an extensive library ecosystem, covering web development (Django, Flask), automation (Selenium), scientific computing, networking, and more.

This reduces development time, making it attractive to companies.

5. High Salaries & Career Growth

Python developers are in high demand, leading to competitive salaries.

As AI, automation, and data science continue growing, Python skills remain a long-term investment.

6. Strong Community & Open Source Support

Python has a massive community, meaning plenty of learning resources, tutorials, and open-source contributions.

New learners can easily find help via forums, GitHub, Stack Overflow, and YouTube tutorials.

7. Automation & Scripting

Python is widely used for task automation, making it valuable for system administrators, DevOps engineers, and business analysts.

8. Cloud & Backend Development

Python powers many backend systems and cloud applications (AWS Lambda, Google Cloud Functions).

FastAPI and Flask are lightweight frameworks for microservices, making Python essential for modern web applications.

Because this is my first post, and I think we are all going to become firm friends💖. Here is a collection of Python cheatsheets. Learn it, then master Python. No, seriously. Trust me, learn Python.