During the Christmas holidays I had the idea of creating a Telegram bot to notify me of various crypto signals. Although I had seen people mention “vibe coding” on my X feed, I didn’t initially grasp the idea or its possibilities. Still, I knew ChatGPT could produce lines of code, so I decided to use it to build the bot.
After a week of copying and pasting code and chatting with the overly friendly LLM, I got distracted, started doom-scrolling X, and suddenly fell down the rabbit hole of vibe coding. It turned out I had only scratched the surface, and CT was already way ahead of me.
There was an overwhelming amount of information — tutorials, apps, groups, videos — everything to help you get started. But it felt like a puzzle with the pieces scattered around, and knowing where to begin was intimidating. I can imagine this is how newbie crypto bros feel when taking their first steps: all those choices, coins, chains, narratives, and voices.
Even though my Telegram bot worked pretty much the way I wanted it to (I hit a wall with APIs, by the way), I decided to start fresh with vibe coding. Here’s what I did and why:
- Joined ten different vibe-coding subreddits. Compared to X, Reddit seems more focused on problem-solving and discussion; X feels more about shilling.
- Switched my IDE from VS Code to Google Antigravity. I’m currently using the free version but plan to upgrade. Antigravity lets you switch models, such as Gemini 3 Pro and Claude Opus 4.5.
- Tried a bunch of LLMs to see what they can do and what pricing plans they offer. Claude Code seems to be the cool option at the moment, but the pricing is a bit high for me right now — no rush.
- Learned prompting. This is important. Many helpful people share great prompts on X, but those are usually tailored to specific use cases. From what I’ve learned, it’s best to master the structure of a good prompt.
- Found Google Gemini’s Guided Learning tab while experimenting with prompts. It’s been very helpful when I can’t come up with a good prompt on my own.
After turning on Guided Learning, I told Gemini what I was building and asked for help with prompting. Gemini then walked me through the process, offering example prompts and explaining why things matter and what the right structure looks like. It also suggested different ways to start building. In my case, the recommended approaches were static/mock starts with a focus on UI and an API-first approach emphasizing the backend.
Until something better comes along, I’ll start projects with a Guided Learning session in Gemini and then move to Antigravity using (hopefully) great prompts.
So far, so good. It feels like a promising start, but I’ve only scratched the surface and there’s still so much to learn. Once I have a working app, I’ll dive deeper into AI documentation, databases, authentication, hosting, version maintenance, and so on.
I plan to keep costs near zero as long as possible, constantly hunting for cheaper or free alternatives. Looking at X and Reddit feeds, it feels like the whole world is vibe coding right now, but I suspect many will drop out once the initial boom cools. To me, this doesn’t feel like the time to go all-in and subscribe to ultra-max plans that cost hundreds of dollars per month.
It’s all so new, and we’re still early. We’ve heard that before, and, like in crypto, the early days bring a lot of volatility: apps and companies come and go, but the technology isn’t going anywhere — nor are the skills we’re learning.
Thank you for reading! If you liked the content, please like or comment 🙏. I’ll be publishing more AI/vibe-coding content along with crypto stuff — they feel like a match made in heaven. Follow for more on vibe coding!
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