AI se sirf generic websites banti hain?
โ Myth.
Maine prove kiya using Claude Code + https://t.co/4yae3fneWm +
UIUX Pro Max skill = stunning animated websites.
No CSS. No designer. Just prompts.
Watch ๐
https://t.co/eGwetOG5SZ
5/ Final ranking for Indian developers:
๐ฅ Claude Code โ Production work, complex projects
๐ฅ Codex โ If you already pay ChatGPT Plus
๐ฅ Cursor โ Daily editing + IDE experience
I did a live build test โ medical dashboard with all three, same prompt.
Full video with demo ๐
https://t.co/eNA56ycDvV
RT if this helped ๐
Maine โนlakhs spend kiye Cursor, Claude Code aur OpenAI Codex pe - 1.5 years of real usage.
Here's my honest verdict that no sponsored video will tell you ๐งต๐
4/ Cursor
โ Best for: Daily inline editing, VS Code users, visual debugging
โ Most polished IDE experience
โ Supports Claude + GPT + Gemini in one interface
๐ฐ Price: โน1,700/month (Pro)
Great tool. But on raw output quality for complex tasks - Claude Code beats it.
Best use: Pair Cursor with Claude Code. Most senior devs do this.
3/ Claude Code ๐
โ Best for: Production code, complex refactors, best UI/UX output
โ 1M token context window โ processes entire codebases
โ 80.8% SWE-bench score (highest of the three)
๐ฐ Price: โน1,700/month (Claude Pro)
I've used this for 1 year. Nothing comes close for production-level work.
Personal recommendation: Start here.
2/ OpenAI Codex
โ Best for: Code explanation, bug fixing, async tasks
โ Weak at: Complex production-level changes
๐ฐ Price: Bundled with ChatGPT Plus ($20/mo)
GPT 5.4 and 5.5 made it significantly better recently. But still falls behind on complex multi-file refactors.
Verdict: Good starting point. Not enough for serious production work.
I was gone from YouTube for 8 months.
So I built an AI studio that automates
my entire content workflow.
Script โ Description โ Hashtags โ Analytics insights
Full demo ๐
https://t.co/IPRbiib5aj
CONTEXT LOSS IS KILLING your AI agents.
A layered memory architecture is the solution.
Forget a linear dump. You need the 3 pillars:
1. Episodic (Events & Conversations)
2. Semantic (Facts & Data)
3. Procedural (Skills & Workflows)
Master these, then add Vector DBs & RAG. Stop forgetting and start performing.
#AgenticAI #LLMs #AIEngineering #MemoryArchitecture