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Latest insights.
AI/MLBuilding Production-Ready RAG Pipelines with LangChain
A practical guide to building Retrieval Augmented Generation pipelines that actually work in production — covering LangChain, vector databases, Pinecone, and the hard lessons learned.
DevOpsKubernetes at Scale: Lessons from Running 200+ Microservices
Hard-won lessons from managing a Kubernetes cluster running over 200 microservices — covering resource tuning, service mesh, CI/CD pipelines, and the operational realities of cloud native at scale.
AI/MLFine-Tuning LLMs for Domain-Specific Applications
How we fine-tuned large language models for specialized business use cases — from dataset preparation and training strategies to VRAM optimization and production deployment.
BackendEvent-Driven Architecture with Kafka and Spring Boot
Lessons from migrating a monolithic order processing system to an event-driven architecture using Apache Kafka — covering schema design, error handling, and exactly-once semantics.
DevOpsTerraform Best Practices for Multi-Cloud Infrastructure
Battle-tested Terraform patterns for managing infrastructure across AWS, Azure, and GCP — from module design and state management to FinOps and cost optimization.
AI/MLAgentic AI Systems: From Concept to Production
A deep dive into building production agentic AI systems — covering agent architecture, persistent memory, human-in-the-loop patterns, and the governance challenges of autonomous AI.
AI/MLMulti-Agent Orchestration with CrewAI, LangGraph & OpenAI Swarm
A hands-on comparison of multi-agent orchestration frameworks — CrewAI, LangGraph, AutoGen, and OpenAI Swarm — with real code examples and production lessons.
AI/MLBuilding AI Pipelines with n8n, MCP & Claude Code
How we built automated AI pipelines using n8n for workflow orchestration, MCP (Model Context Protocol) for tool integration, and Claude Code for intelligent automation.
AI/MLMultimodal AI & Vibe Coding: The Future of Software Development
Exploring how multimodal AI — from image and video generation to speech-to-text — is converging with vibe coding to transform the software development experience.