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BiggB
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BiggB
@bigbindian
Every Story has 3 sides: mine, yours, and the truth
Earth Beigetreten Haziran 2016
476 Folgt97 Follower
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Tremendo post de Daniel sobre cómo usar subagents
Esto él lo ha centrado en Claude Code pero en realidad esto se extrapola a cualquier cliente que permita usar subagents de esta forma
En OpenCode yo tengo un setup muy parecido. Casi siempre tengo entre 2 - 6 subagents corriendo
Daniel San@dani_avila7
Español
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EXERCISES FOR VISUAL ACUITY
Eye exercises work wonders if done regularly for 10 minutes a day.
1. Blink frequently for two minutes.
2. Slant your eyes to the right and then move your gaze in a straight line. Do the same in the opposite direction.
3. Move your gaze in different directions: right-left, up-down, circle, figure eight.
4. Close your eyes for 3-5 seconds, then open your eyes. Repeat 7 times.
5. Press on the upper eyelids with your fingers, but without much effort, hold in this position for about two seconds. Perform in series - 4-5 times each.
6. Stand near a window, focus on an object located in the immediate vicinity (a point on the glass), and then shift your gaze to a distant object. Repeat 10 times.
7. Close your eyes and slowly move your eyeballs up and down 5-10 times.
8. With open eyes draw in the air first simple geometric figures, and then complex objects and large-scale compositions.

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New release from @PacktDataML available at: amzn.to/40Sp4O9
"Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows"
Table of Contents:
🟠Introduction to Generative AI and AI agents
⚫️Understanding How AI Agents Work
🟠A Hands on Walk-Through of a Simple AI Agent
⚫️Building a Tool-Based Agentic AI Framework
🟠Implementing Custom Tools
⚫️Creating Chat Interfaces Using Slack and Chainlit
🟠Integrating with the Model Context Protocol Ecosystem
⚫️Designing Multi-Agent Systems
🟠Implementing Multi-Agent Systems with A2A
⚫️Testing, Debugging, & Troubleshooting Multi-Agent Systems
🟠Deploying Multi- Agent Systems
⚫️Advanced Topics and Future Directions

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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: amzn.to/41ckg6z v/ @PacktDataML
—
What you will learn:
1️⃣Deploy production-ready agent systems that scale securely and reliably
2️⃣Use LangChain and LangGraph to build autonomous agents with modular architectures
3️⃣Implement agents with sophisticated memory, planning, and reasoning capabilities
4️⃣Seamlessly integrate tools, APIs, and external data into agent workflows
5️⃣Establish robust evaluation frameworks to measure and optimize agent performance
6️⃣Implement guardrails and explainability features to ensure ethical and safe deployment
7️⃣Build multi-agent systems for complex, collaborative task orchestration
8️⃣Apply specific agent architectures across healthcare, finance, and legal domains

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DevOps Journey – From Easy to Extreme 🔥
• 🐧 Linux Basics → 🟢 Easy
• 🌿 Git & GitHub → 🟢 Easy
• 📦 Package Managers → 🟢 Easy
• ⚙️ Basic Scripting (Bash) → 🟢 Easy
• 🔁 CI/CD Pipelines → 🟡 Easy–Medium
• 🐳 Docker → 🟡 Easy–Medium
• ☁️ Cloud Basics → 🟡 Easy–Medium
• 🔐 Basic Security Practices → 🟡 Easy–Medium
• 🌐 Networking Concepts → 🟠 Medium
• 📊 Monitoring (Logs/Metrics) → 🟠 Medium
• ⚖️ Load Balancing → 🟠 Medium
• 🏗️ Infrastructure as Code (Terraform) → 🟠 Medium
• ☸️ Kubernetes → 🔴 Hard
• 🔑 IAM & Access Control → 🔴 Hard
• 🔄 High Availability Systems → 🔴 Hard
• 🧠 System Design → 🟣 Very Hard
• 🔍 Debugging Distributed Systems → 🟣 Very Hard
• ☠️ Production Outage Handling → 💀 Extreme
Most people learn tools.
Top 1% understand systems.
#DevOps #Cloud #SRE
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Building Enterprise-Level RAG Systems with #Azure From Blob to AI Search
levelup.gitconnected.com/building-enter…
#MachineLearning #ChatGPT

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*اگر بھارت نے حملہ کیا تو کسی بیرونی ملک کا پریشر برداشت کریں گے نہ کسی کی کال سنیں گے منھ توڑ جواب دیں گے
وزیر دفاع
@KhawajaMAsif
اردو
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🚨 SON DAKİKA: Yapay zekâ ses araçları için bir daha asla para ödemeyin!
MICROSOFT, yapay zekâ ses aracını açık kaynaklı hale getirdi.
Bir zamanlar güvenlik kontrolleri için filigranlı olan en güçlü yapay zekâ ses aracını ücretsiz olarak yeniden yayınladılar.
> 10 saniyelik sesten herhangi bir sesi kopyalayın
> 90 dakikalık ses oluşturun
> 50'den fazla dili destekler
> Gerçek zamanlı akış
> Yerel olarak çalışır
%100 Açık Kaynak ve Ücretsiz.
github.com/microsoft/Vibe…
Türkçe
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AI Engineering stack 👇👇
> Python — model development
> Jupyter Notebook — experimentation
> PyTorch — model training
> Hugging Face — models & inference
> Docker — packaging
> Kubernetes — scaling inference
> MLflow — model tracking
> Apache Kafka — data pipelines
> Prometheus — model metrics
> Grafana — observability
Learn how to deploy all of these and you’re closer to AI systems engineering than prompt tinkering.
Tech Fusionist@techyoutbe
Platform Engineering stack 🔥🔥 > Terraform — infrastructure provisioning > Ansible — configuration management > Docker — container packaging > Kubernetes — workload orchestration > Helm — app deployments > Argo CD — GitOps delivery > Prometheus — observability > Grafana — dashboards > HashiCorp Vault — secrets > Open Policy Agent — guardrails Learn how to deploy all of these and you’re operating like a platform engineer.
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A must read for anyone interested in building practical AI systems in 2026:
Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
The paper explains the architecture of a modern production-grade AI agent system (Claude Code) by analyzing its source code. This is what they call a "harness" of an agentic coding system.
Learn by reading with an AI tutor: chapterpal.com/s/9b6bb47a/div…
PDF: arxiv.org/pdf/2604.14228




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