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All Posts (37)#Roadmap #AI Engineering #System Design #Agents #Architecture #Frameworks #ModelFusion #TypeScript #Multimodal #AI

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Microsoft Semantic Kernel Architecture Guide: Enterprise AI Integration

Frameworks

2026-08-104 min read

Microsoft Semantic Kernel Architecture Guide: Enterprise AI Integration

Master Microsoft Semantic Kernel — covering Kernel plugins, semantic memory connectors, prompt templates, function filters, and native C#/Python enterprise orchestrations.

Anthropic Model Context Protocol (MCP) Architectural Guide

Master Anthropic's Model Context Protocol (MCP) — covering client-server JSON-RPC architecture, Stdio/SSE transports, dynamic tool discovery, and resource streaming.

Pydantic AI Framework Guide: Production Type-Safe Agent Engineering

Master Pydantic AI — covering type-safe agent schemas, dependency injection, model-agnostic tooling, structured result validation, and test harness mocks.

Haystack 2.0 Architectural Guide: Modular Production RAG Pipelines

Master deepset Haystack 2.0 — covering component-based directed graph pipelines, InMemoryDocumentStore, OpenAIGenerator, conditional routers, and evaluation nodes.

LlamaIndex Architectural Guide: Data Ingestion, Indexing, and Query Engines

A comprehensive developer handbook for LlamaIndex — covering VectorStoreIndex, Document Readers, node parsing, sub-question query engines, and agentic RAG workflows.

Microsoft AutoGen 0.4+ Architecture Guide: Event-Driven Multi-Agent Systems

Master Microsoft AutoGen 0.4+ — covering the event-driven Actor model, AssistantAgent, UserProxyAgent, RoundRobinGroupChat, and distributed agent messaging.

CrewAI Framework Guide: Role-Playing Autonomous Multi-Agent Teams

Master multi-agent orchestration with CrewAI — covering Agents, Tasks, sequential and hierarchical Processes, memory systems, and custom tool delegation.

LangChain v0.3+ Architectural Guide: LCEL Runnables, Tools, and Retrieval

Master modern LangChain v0.3+ architecture — covering LangChain Expression Language (LCEL), streaming runnables, document loaders, vector retrievers, and structured output parsing.

Autonomous AI DevOps Agents Part 7: Production Guardrails & Telemetry Evals

Harden non-deterministic DevOps AI agents with RBAC permission gates, deterministic circuit breakers, and OpenTelemetry evaluation suites.

Autonomous AI DevOps Agents Part 5: eBPF Kernel Observability & Real-Time Anomaly Triage

Combine eBPF Linux kernel probes with LLM anomaly detection to pinpoint silent network packet drops, socket latency spikes, and CPU throttling.

Autonomous AI DevOps Agents Part 4: GitOps Remediation & Terraform Drift Correction

Detect Infrastructure-as-Code state drift in Terraform and Pulumi using autonomous AI agents with human-in-the-loop approval guardrails.

Autonomous AI DevOps Agents Part 2: Kubernetes Self-Healing & CrashLoopBackOff Triage

Build an event-driven AI agent that intercepts OOMKilled and CrashLoopBackOff pod events, inspects stack traces, and applies automatic Kubernetes resource patches.

Asutosh Sidhya

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