PaperDebugger is an open-source academic writing assistant that integrates directly into Overleaf. It provides LaTeX-aware debugging, reviewer-style feedback, and targeted revision suggestions without leaving the editor.
There’s no signup: install the Chrome extension and it attaches immediately to your project. Under the hood, it reads your project structure and simulates a Research → Critique → Revision workflow rather than one-shot chat responses.
about to Launch a product for creators after building for a few weeks to months. Started as a way to get into vibe coding and just got real useful real quick lol. But the goal is still that - mix my skills and knowledge as an engineer with the good parts of AI coding. So i learned a few of what to need and have
Claude.md file
best coding practices section
pretty heavy compartmentalization & file structure separation
certain ways to prompt
ask for implementation plan before telling it to code
But i feel like all i learned is about directing prompts - im wondering...
what are you guys finding are the best .md or deeper ai vibe coding tricks that are helping you save time? be more efficient? debug ai less or help it get it right the first time? whats your vibe code tips and tricks?
AI dev tools are evolving crazy fast , every few weeks there s a new must-try for vibe coders.
Some people are building full products with @ChatGPT by OpenAI and @Replit , others swear by @Cursor and @Claude by Anthropic , and a few are mixing @Lovable + @v0 by Vercel + @bolt.new to ship apps in record time.
I ve been refining my own vibe stack lately, trying to find that sweet spot between speed, control, and creativity. It made me wonder ,what does your setup look like right now?
