CodeBucks⚡
@code_bucks
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Software Engineer who ships AI apps | 35K+ YouTube subs | Scaling AI first development Agency | DM for AI SaaS development
Joined September 2020
Stop overthinking your landing page design. I just tested Gemini 3.0. The UI capabilities are frighteningly good. I went from blank screen to a slick landing page in just few minutes. It's fully mobile responsive. Full prompt below 👇🏻 Checkout this demo:
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Every Frontend developer & UI designer should know these sites! 🔸godly .website - Top web design 🔸awwwards .com - Leading design awards 🔸refero .design - Real-world inspiration 🔸siteinspire .com - Web design showcase 🔸land-book .com - Landing pages gallery 🔸bento .grids -
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Another AI browser! But I think most companies are missing the point. The goal shouldn't be a smarter address bar. The goal should be zero navigation. This is why OpenAI’s single-interface approach I think feels right from POV of non-technical user. Whether you are shopping or
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You're an agency dev if you, - ship under impossible deadlines - debug legacy code from 2017 - explain why "make it pop" isn't technical feedback - build the same contact form 47 times
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You're an agency dev if you, - ship under impossible deadlines - debug legacy code from 2017 - explain why "make it pop" isn't technical feedback - build the same contact form 47 times
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The bottleneck isn't coding anymore. it's knowing which AI tools to orchestrate and having the vision to build the right thing
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Inter's still the goat for UI fonts, clean and versatile. I keep this list handy and try them out whenever I design or develop a new app. - Geist (default next.js fonts) - Manrope - DM Sans - Satoshi - Figtree - Plus Jakarta Sans - Switzer - Aeonik. Each one has its own vibe🔥
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This one is gonna hurt few people: If an AI model can't build a landing page for you in one shot, the AI isn't bad. You are. Stop blaming the tools for your lack of prompting skills.
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Has anyone here used the nano banana pro specifically with real face? - How accurate are the facial features? - what did you use it for like headshots or something else? Looking for real user experiences.
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Honestly I'm tired of dark themed websites 🤦🏻♂️ Wanted to see different colors then black and gray combinations. Did you saw anything new in web design?
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Perplexity has the best visual identity in tech right now. Clean, abstract, and futuristic. I spent some time reverse-engineering their image style so you can use it for your own projects, using google nano banana pro. Check out the images 👇 Prompt is given in the first
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Prompt: Use case: {add your use case for the image eg. for landing page hero section for x subject} Cosmic‑Dream Visual Metaphor Goal: Create one awe‑inspiring, cinematic image that communicates [USE_CASE]. Select a single hero symbol that BEST embodies [USE_CASE] (choose
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Perplexity has the best visual identity in tech right now. Clean, abstract, and futuristic. I spent some time reverse-engineering their image style so you can use it for your own projects, using google nano banana pro. Check out the images 👇 Prompt is given in the first
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Has anyone here used the nano banana pro specifically with real face? - How accurate are the facial features? - what did you use it for like headshots or something else? Looking for real user experiences.
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Gemini 3.0 Pro review after using since it's launch: → Good at creative writing, really like the tone → Great at frontend designs, UI generation with better prompting → Great performance and output if we use it on google's own platforms → For backend I still prefer to use
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I think the compiler analogy is not 100% correct. Compilers are deterministic, while LLMs are not. We won't stop checking the output because, unlike a binary, generated code needs to be maintainable, secure, and aligned with business logic especially for large projects. I
I believe this new model in Claude Code is a glimpse of the future we're hurtling towards, maybe as soon as the first half of next year: software engineering is done. Soon, we won't bother to check generated code, for the same reasons we don't check compiler output.
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RAG is just semantic search.❌ Production RAG is 20% retrieval and 80% filtering the garbage. ✅ Here is the pipeline I’m using when accuracy is must: Query: → Query expansion (LLM) → Hybrid Search (vector + keyword) → Re-ranking → Context compression → LLM
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Now that Anthropic has launched Claude opus 4.5, I tested it with the exact same prompt I used for Gemini 3.0 Pro. The results? Not that great, Gemini nailed a better frontend overall, but Opus's output wasn't as bad as I expected. It did take a lot more time to generate,
Stop overthinking your landing page design. I just tested Gemini 3.0. The UI capabilities are frighteningly good. I went from blank screen to a slick landing page in just few minutes. It's fully mobile responsive. Full prompt below 👇🏻 Checkout this demo:
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Now that Anthropic has launched Claude opus 4.5, I tested it with the exact same prompt I used for Gemini 3.0 Pro. The results? Not that great, Gemini nailed a better frontend overall, but Opus's output wasn't as bad as I expected. It did take a lot more time to generate,
Stop overthinking your landing page design. I just tested Gemini 3.0. The UI capabilities are frighteningly good. I went from blank screen to a slick landing page in just few minutes. It's fully mobile responsive. Full prompt below 👇🏻 Checkout this demo:
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Everyone is more focused on using "Agent Mode" in cursor, but they are giving less importance to Model Context Protocol (MCP). I just wired up a MCP server to my Postgres DB and used it with composer model. → No need for copy-pasting schema definitions. → The model queries
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