Cursor is an AI-powered code editor. It looks like a normal coding app, but instead of writing everything yourself, you can tell it what to do and it builds or edits the code for you. What it actually does- Reads your entire project Understands how your files connect Writes and edits code across multiple files Fixes errors Explains what it changed Key feature (this is the difference) Agent mode Instead of: writing prompts copying code fixing things manually You say: “build this feature” “fix this bug” And it handles the steps. Simple example You: “Add a login page with email + password” Cursor: creates UI adds logic connects files updates codebase What it replaces- jumping between ChatGPT + your editor copy paste workflows small repetitive coding tasks Who it’s for- beginners building apps with AI non-coders using AI to create tools developers who want speed Cursor = AI that works inside your code, not outside it

Turns out… it's not the model. It is how I am using it. Turns out Claude doesn’t count messages. It counts tokens. Once that clicked, everything changed. Here are 10 things that make a massive difference: 1. Edit your prompt instead of sending follow-ups If the response is off, don’t send: “No, I meant…” or “That’s not right…” Every extra message gets added to history. Claude re-reads ALL of it every time. Token cost grows fast: At ~500 tokens per exchange 5 messages = ~7.5K tokens 10 messages = ~27.5K tokens 20 messages = ~105K tokens 30 messages = ~232K tokens Instead: edit your original prompt and regenerate. You replace the history instead of stacking it. 2. Start a new chat every 15 to 20 messages Long chats are expensive. Most tokens get burned re-reading old context, not generating new output. One dev tracked usage: 98.5% tokens = re-reading history 1.5% = actual output Fix: Ask Claude to summarise → copy → start fresh chat → paste summary. 3. Batch your questions Stop sending multiple messages. Bad: “Summarise this” “Now list points” “Now give a headline” Better: “Summarise this, list key points, and suggest a headline.” One prompt = one context load. 4. Use Projects for repeat files Uploading the same file repeatedly = repeated token cost. Projects cache your files. Upload once → reuse without re-tokenising. If you use PDFs, briefs, or docs often, this alone saves a lot. 5. Set Memory and Preferences If you keep typing: “Act as…” “I’m a…” “I write like…” You’re wasting tokens every time. Save it once in settings. Claude remembers it. 6. Turn off unused features Search, connectors, advanced thinking all add token cost. If you didn’t intentionally turn it on, turn it off. 7. Use the right model Not everything needs power. Haiku → quick, cheap tasks Sonnet → standard work Opus → deep thinking Most people overuse powerful models and burn budget fast. 8. Spread usage across the day Claude uses a rolling 5-hour window. If you burn everything in one session, you waste the rest of your day.

Here's the answer of my previous post.

Welcome to Skill & Soul Studio @Lance Andrade great to have you in the community

Happy Easter 🐰 Wishing you a day filled with joy, chocolate, and a little bit of magic. May your Easter be as sweet as the treats and as bright as the season. MJ certainly had fun this easter, hope you all did to