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Engineering Intelligence

The Inductivee agentic AI and enterprise AI engineering blog. Deep technical posts on multi-agent orchestration, RAG pipelines, autonomous agent design patterns, and the engineering disciplines behind production agentic systems.

42 articles · sorted by newest

Latest Articles

42 articles

Architecture

vLLM in Production: Enterprise Inference Architecture for Self-Hosted LLMs

vLLM has become the default open-source serving engine for self-hosted LLMs. Here is how PagedAttention and continuous batching actually work, the deployment patterns we recommend for enterprise teams running vLLM in production, and where it fits — and does not fit — compared with TGI, TensorRT-LLM, and managed inference APIs.

May 21, 2026·14 min read
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AI Agents

Claude Computer Use for Enterprise: Architecture, Security, and Production Patterns

Claude Computer Use lets an agent see a screen and operate a mouse and keyboard like a human. That capability is genuinely useful — and genuinely dangerous in production. Here is how Computer Use actually works, what the threat model looks like, and the deployment patterns we recommend for enterprise teams shipping it for real.

May 3, 2026·14 min read
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Multi-Agent Systems

A2A Protocol: Google's Agent-to-Agent Standard Explained

A2A Protocol is Google's open standard for agent-to-agent communication — the missing layer that lets agents from different frameworks, vendors, and runtimes collaborate. Here is how A2A works, how it differs from MCP, and the enterprise adoption pattern we recommend.

Apr 20, 2026·15 min read
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Architecture

Model Context Protocol (MCP) Enterprise Guide

Model Context Protocol (MCP) is Anthropic's open standard for connecting LLMs to tools and data. Here is what MCP means for enterprise architecture — governance, security, and the adoption pattern we recommend.

Apr 15, 2026·15 min read
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Multi-Agent Systems

LangChain vs LangGraph: When to Use Each for Enterprise Agentic Systems

LangChain vs LangGraph is the most misunderstood choice in the agentic AI stack. LangChain is the library of building blocks. LangGraph is the stateful graph runtime for complex agent workflows. Here is when to use each — and when you need both.

Apr 15, 2026·14 min read
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Multi-Agent Systems

LangGraph vs CrewAI: Which Multi-Agent Framework Fits Your Enterprise Workflow

LangGraph vs CrewAI is a choice between two philosophies. LangGraph is a low-level stateful graph runtime — explicit, flexible, production-grade. CrewAI is a high-level role-based orchestrator — fast to prototype, opinionated about structure. Here is the engineering call.

Apr 15, 2026·13 min read
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