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AI Agent team that don't just code but handle the entire software development lifecycle. Six AI Agents for coding, debugging, incident response, documentation, and ticket management with full MCP support. 5 cool examples 👇 1. Autonomous End-to-End Coding

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Gpt 4o is reasoning before searching, this is strong indication that they are testing the routing system between combined models. Lots of new frequent small testing is becoming more frequent as we close in on the big, GPT 5

If you don't take action (Start Coding with Your Hands), nothing will change. You'll cry, because (Time will Fly) and it won't stop for you. Start Learning about the Things (Whole Internet is Yours). Be Smart Take Help from (Any AI Assistant), and Get Started.

🚨 Google Veo 3 just shattered expectations. In 24 hours, it blurred the line between fiction and reality — with sound, motion, and full dialogue… All from a single prompt. These 8 results feel like sci-fi: 👇 1.

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Here is a complete agent loop diagram . Visualizing is the best way to learn and understand complex things.

The most dangerous person in tech isn't Elon or Altman. It's a 28-year-old who built the training system for OpenAI. Now Zuckerberg just gave him $15 BILLION to join Meta's "superintelligence" lab. Here's why every tech CEO is terrified of what's coming: 🧵

Tracing is one of Mager feature in OpenAI agents sdk . Here is the complete flowchart of the tracing workflow in OpenAI agents sdk

Understanding tracing in the OpenAI Agents SDK doesn't have to be complicated. 📌 Analogy: A trace is like a movie — it captures every scene (span) from start to end. 📌 Analogy: A span is like a scene in that movie — a focused snapshot of a single action.

🚀 Just tested out Sentence Transformers with the all-MiniLM-L6-v2 model for generating semantic embeddings .It's incredibly lightweight and perfect for building vector-based search, RAG systems, and recommendation engines — Here’s a quick example:

📌 Retrieval-Augmented Generation (RAG) – Dot Product Demo with NumPy 🔍 Want to know how a user's query finds the most relevant document in a vector database? 👇 Here’s a simple Python demo:

Jus build a research agent. Demo...

Youtube video analyzer Agent...

After MCP, A2A, & AG-UI, there's another Agent protocol (open-source). ACP (Agent Communication Protocol) is a standardized, RESTful interface for Agents to discover and coordinate with other Agents, regardless of their framework (CrewAI, LangChain, etc.). Here's how it works:

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