Закреплённый твит
Lovepreet Singh
68 posts

Lovepreet Singh
@CodeStockEng_94
Comunidad de Madrid, España Присоединился Ekim 2020
23 Подписки8 Подписчики

@CodeStockEng_94 @X I am making this with intension to sell. So, the repo is private. 😅
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Heys @X
Most of us are building behind screens.
Let's change that.
I'm looking to #connect with people who are into:
🚀 SaaS
🤖 Agentic Engineering
⚡ Real-time Systems
💻 Software Development
🌐 Web Dev
📱 App Dev
🏗️ Building in Public
🧠 AI & Automation
📈 Startups
If you're building something cool lets connect 🤝
What are you working on right now?
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@gtisbuilding @X Sounds cool. Do you have a GitHub repo?
Maybe, I can contribute something to it.
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@gtisbuilding @X Interesting, are you open to talk about it's USP's.
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@CodeStockEng_94 @X Currently building a self-hostable community platform, like discord.
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Day 7: What the f**k is Agentic AI (from podcast hosted by @lexfridman guest @steipete).
Spent my weekend deploying my first AI agent (a simple chat bot).
Learning about FFmpeg n Curl so I can talk to the agent instead of typing.

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@ishivamgaur Yeah. Let's connect 🤜🏻🤛🏻.
I'm developing my skill set in Agentic AI
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@ishivamgaur Following your step 1 of grow on x post. 😅
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@AvinashSingh_20 Nothing much just the financial n physical part. You?
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@CodeStockEng_94 Building life definitely counts bro!
What part of life are you working on these days?
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@kunalstwt That's interesting.
A dumb question (no harm if answer is obvious 😅). Do you think, if a significant number of people start to use a small model which runs locally on their machines it will reduce the processing required at data centres to generate responses.
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What if I told you that you can improve the performance of your small AI model by over 400% just by changing how it thinks?
If you run small models locally, you know they are great for privacy but terrible at complex logic. But you don't need a massive cloud model or days of fine-tuning to fix this.
@OracleDevs's new open-source framework makes advanced reasoning plug-and-play for Ollama. By adding a simple suffix to your model name, a proxy intercepts the call and runs a "Tree of Thoughts" strategy. It evaluates different paths, discards the errors, and gives you a highly accurate answer while keeping your application code exactly the same. Shoutout to Oracle for sponsoring.
🔗 If you want to try this yourself, check out their step-by-step blog and the GitHub repo: fandf.co/4wPBMfu
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@ship_temp_md Thankyou. Will be posting a working video as well. Still working on memory allocations.
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@CodeStockEng_94 stopped consuming and just built is the whole turn. nice first ship
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Built, Deployed n tested my first agentic AI project. It's running 💪🏻.
A week ago I only knew Agentic AI exist.
As said on Day 5. Stopped consuming n just built.
Takeaway: Treat Claude like a collaborator, not a search engine.
#AgenticAi #LearnibgInPublic




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What next? Back into tech, sight on AI.
It's all the same job, take complicated things and get it done.
Gracias España. This chapter's closing. Excited for next
#careerchange #AI #futureofwork
La Nucia, España 🇪🇸 English















