Here is my decision log template, you can find more such templates on internet, LLMs can also generate such templates, but I prefer this one to be hand crafted.

Fellow developers: What's your longest vibe coding time vortex?
Business leaders: This is why "just AI it" needs realistic timelines.

Tip 💡: Review LLM's Context Window/Memory - this impacts the ability to memorise past instructions. 

Decision log is possibly an idiot proof way across LLMs to ensure the critical context is always fed into LLM, and no random long response or token overflow can mess next prompts.

Research shows it takes 23+ minutes to regain focus after task switching.
Vibe coding without guardrails = constant context switching chaos.

⚠️ Token cost reality: The decision log adds ~750 tokens per session. For a typical project (30 conversations), that's only $0.07-0.34 extra cost. Tiny price to save HOURS of debugging hell.

What saved my sanity: 💡 A simple "decision log" that I now paste into EVERY AI conversation. 

This prevents the AI from "forgetting" previous decisions and breaking working features.

💥 Hour 14: "I broke the working document chunking somehow." 
 🤯 Hour 20: "Rate limits, memory leaks, and unexpected costs..." 
 😵 Hour 22: Still debugging, questioning my life choices

Here's the brutal hour-by-hour breakdown: 
🚀 Hour 1: "This is magic! AI is analyzing PDFs!" 
⚠️ Hour 4: "Why is my API bill climbing so fast?" 
🔄 Hour 8: "Just need to fix vector embeddings storage..."

Sound familiar? 🧵