People who spend long periods of time at home and slowly lose the desire to go outside often think they're just resting. But psychologically, many of them are experiencing something called mental rumination. It's a state where the brain starts slowing down while the number of thoughts inside keeps increasing and the motivation to do anything slowly disappears. The mind gets stuck in the past, worries about the future and burns itself out. This isn't laziness, it's a nervous system stuck in survival mode. And the longer it lasts, the more distant normal life begins to feel. And the difficult part is that you usually can't escape it through one massive burst of motivation. And sometimes,recovery starts with just one small step.
VibeCoding is a bit of a rollercoaster. 🎢
At first, everything feels amazing. Your AI agent spins up a prototype in minutes. Then something breaks. A weird bug shows up. You get stuck.
This is completely normal.
The people who succeed are the ones who ride through the rough spots and keep going. Here are a few tips:
1. Add more context. If the agent is stuck, give it documentation, screenshots, or error messages. The more input you provide, the better the output.
2. Use Git. Replit has it built in. If things go sideways, you can always go back to a stable version.
3. Refine your prompts. Sometimes the issue isn’t the code, it’s how you’re asking for help.
4. Know when to move on. Not every feature needs to be perfect right now. Ship what works and improve later.
Stay steady. Iterate. Ship.
I expected GPT to predict the plot for me since the theories are already available on reddit already and tell me why it thinks its right. Here's how the conversation go:
Today I was just testing GPT on its prediction capability by asking it to predict the final relevation of currently my favourite series 'From'. If anyone is into this series, they might know that the actual plot is not yet revealed and will be shown in the final episode
@akshay_pachaar I have just started my career in Machine learning and gen ai. I need to study prompt engineering, prompt caching, RAG, Langchain and Embeddings to participate in POCs. Can you please point me to a good source to get started without getting overwhelmed ?