Umeey @rtiwariops

Techie & fitness enthusiast and a sportsperson - Skiing, cycling, swimming, running ..etc. umeey.medium.com lehi, UT Joined December 2021

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Julio Casal @julioc

2 days ago

5 books I can't recommend enough: 1. Clean Architecture ( Robert Martin ) 2. Building Microservices ( Sam Newman ) 3. Unit Testing ( Vladimir Khorikov ) 4. Domain Driven Design ( Eric Evans ) 5. Head First Design Patterns ( Eric Freeman, Ph.D. & Elisabeth Robson ) For more…

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Alex Xu @alexxubyte

3 days ago

MCP vs API: what’s the difference?

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Sahn Lam @sahnlam

3 days ago

Big Data Pipelines on the Cloud

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Shubham Saboo @Saboo_Shubham_

5 days ago

Build a Multi-agent app with MCP using Google ADK without writing a single line of Python Code, in simple YAML. All of this in ~5 mins. Step-by-step tutorial with opensource code:

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Dhanian 🗯️ @e_opore

2 weeks ago

Microservices Architecture Overview Imagine a city with many specialized shops instead of one giant supermarket. Each shop focuses on one thing: bakery, butcher, pharmacy, clothing, etc. Together, they serve the whole city — but each can run independently. Components → User…

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Nikki Siapno @NikkiSiapno

2 weeks ago

AI is making code reviews faster (and better). Here’s how: Without AI, by the time a PR is reviewed, the engineer has often moved on. Context is cold. Iteration is slow. That's why CodeRabbit provided not just code reviews in pull requests, but in the IDE. They've just taken…

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Ahmad @TheAhmadOsman

4 weeks ago

GLM 4.5 with Claude Code is the closest thing to Opus 4 > GLM 4.5 beats Opus 4 and Sonnet 4 in the Berkeley Function-Calling Benchmarks > GLM Coding Plans for Claude Code are $3/$15 NOT $100/$200 > For Agents: GLM 4.5 > KIMI K2 > QWEN 3 235B NON-THINKING > Qwen 3 CODER 480B

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Dan Mac @daniel_mac8

4 weeks ago

🚨 HUGE NEWS: OpenAI Claims to have found the cause of hallucinations This could be the next big unhobbling. That is not hype.

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Avi Chawla @_avichawla

a month ago

Finally, MCP servers can now deliver UI-rich experiences! MCP servers in Claude/Cursor don't offer UI any experience yet, like charts. It's just text/JSON. mcp-ui lets you add interactive web components to its output that can be rendered by the MCP client. 100% open-source!

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Prajwal Tomar @PrajwalTomar_

a month ago

This is how I design mobile apps for clients: No Figma No design team No wasted weeks Just UX Pilot, Lovable, Supabase, and Cursor. I used this exact system to design MoodFlow step by step. Comment “mobile” and follow and I’ll DM you the full video.

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Shubham Saboo @Saboo_Shubham_

a month ago

Product Manager for Claude Code. It can turn PRDs into epics, epics into GitHub issues, and issues into production code – with full traceability at every step. 100% Opensource.

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Mustafa @oprydai

a month ago

this isn’t another ‘AI hype’ book. it’s a guide for domain experts, engineers, scientists, and problem solvers on how to actually teach machines what you know. > if you want autonomous AI that works in the real world, start here

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Fernando 🇮🇹🇨🇭 @Franc0Fernand0

a month ago

Don't go to a coding interview without knowing the difference between: - Generic Trees - Binary Trees - Binary Search Trees Here is all that you need to know: [1/3] ↓

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Aurimas Griciūnas @Aurimas_Gr

a month ago

🔥 Want to automate chunk context-augmentation? Forget Late Embeddings and Contextual Retrieval - Good news, 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹𝗶𝘇𝗲𝗱 𝗖𝗵𝘂𝗻𝗸 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 are here! MongoDB has just announced voyage-context-3: a contextualized chunk embedding model. Check it out…

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Rohit Kumar Tiwari @_rohit_tiwari_

a month ago

AI Agents, the practical guidebook 5 patterns. 5 levels. 12 real projects. Everything shown step by step👇 What's inside? 1. What is an AI Agent? 2. Agent vs LLM vs RAG 3. LLM (Large Language Model) 4. RAG (Retrieval-Augmented Generation) 5. Building blocks of AI Agents…

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damien @damienghader

a month ago

I tested 4 AI's with the same prompt. Who built it best? (Video demos + results) ↓

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Avi Chawla @_avichawla

a month ago

DeepMind built a simple RAG technique that: - reduces hallucinations by 40% - improves answer relevancy by 50% Let's understand how to use it in RAG systems (with code):

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Aurimas Griciūnas @Aurimas_Gr

a month ago

Fusion of 𝗥𝗔𝗚 (Retrieval Augmented Generation) and 𝗖𝗔𝗚 (Cache Augmented Generation). How can you benefit from it as AI Engineer? Few months ago there was a lot of hype around a technique called CAG. While it is powerful to its own extent, the real magic happens when you…

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Umeey @rtiwariops

2 months ago

github.com/Goodnight77/Ju…

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Maryam Miradi, PhD @MaryamMiradi

2 months ago

🛠️📎 60 Lessons on 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 — In One 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁. Everything you need before you start 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴: frameworks, issues, fixes, and examples ⬇️ 》 What are AI Agents? ✸ Software systems powered by LLMs ✸ Handle tasks with autonomy, decision-making &…