Build a robust, autonomous incident response system using CrewAI and PydanticAI that handles SLA-breach scenarios, orchestrating multiple AI agents for triage, investigation, and resolution.
Deepak BagadaAug 07, 2026
Design a highly scalable, event-driven financial audit system utilizing LangGraph for complex compliance workflows and Qdrant for semantic hybrid search over unstructured financial records.
Create a cutting-edge self-healing infrastructure using AutoGen agents that continuously analyze Prometheus metrics to detect, diagnose, and remediate Kubernetes cluster anomalies in real time.
Learn how to build a highly scalable, stateless FastMCP TypeScript Server integrated with Supabase Vector and secured by OAuth 2.0. This deep dive covers schema definitions, Claude Desktop configuration, and advanced token security.
Discover how to build an Enterprise Hybrid MCP Server connecting GitHub and Jira for autonomous CI/CD triage. This guide includes complete Python SDK code, OAuth 2.0 token security, and configuration for Claude Desktop.
Explore the new Stateless MCP Specification 2026 and learn how to architect zero-session cloud-native AI connectors for scalable, low-latency agentic workflows. Maximize financial ROI while adhering to modern token economics.
Pi Flows YAML DAG multi-agent orchestration is a Pi Coding Agent extension defining reusable YAML DAG workflow templates where each step connects to an isolated agent session with scoped tools. A Flow Architect agent ana...
Deepak Bagada
To build a multi-agent lead generation system in 2026, integrate CrewAI for agentic orchestration and Firecrawl for deep-web data extraction. This setup enables autonomous agents to research prospects, score leads agains...
Deepak Bagada
The n8n GPT-4o Vision Scraper is a data and analytics workflow that uses the GPT-4o Vision model and Firecrawl to automate resilient web scraping. It saves organizations over 200 hours monthly by replacing fragile CSS se...
Deepak Bagada
Microsoft Copilot persistent memory, configured with Mem0 as the external context layer, allows AI agents to retain task priorities and project history for over 12 months. Teams using this setup report cutting daily coor...
Deepak Bagada
Building self-correcting RAG pipelines with LangGraph involves creating a cyclic state machine that evaluates retrieved documents, rewrites failed queries, and triggers web search fallbacks. By using an agentic loop inst...
Deepak Bagada
In 2026, Claude Code v2.1 enables autonomous bug fixing by integrating directly into CI/CD pipelines. When an error is detected, the agent reproduces the bug, applies a fix, runs tests, and submits a pull request without...
Deepak Bagada
Deploying Microsoft Work IQ cuts manual busywork by 80%. Learn the exact architecture teams are using to automate complex decisions in 2026.
Deepak Bagada
Deploying Multi-Model Tournaments cuts manual busywork by 80%. Learn the exact architecture teams are using to automate complex decisions in 2026.
Deepak Bagada
Deploying Nemotron 3.5 Guardrails cuts manual busywork by 80%. Learn the exact architecture teams are using to automate complex decisions in 2026.
Deepak Bagada
