AI Agents Need Reliable Context Layer Not More Instructions
Software engineering has for the past two decades been defined […]
Articles by Saqib Jan
RAG Fails Upstream and Most Teams Are Fixing the Wrong Problem
The gap between a RAG system that works in a demo and one that works in production is an engineering gap, not a technology gap, and the discipline to close it is available to any team willing to take both steps of the problem seriously rather than just the second one.
The Architecture Underneath Multi-Agent Systems is Where They Actually Fail
Multi-agent systems have cleared the proof-of-concept stage faster than most engineering organizations were even ready for.
Architecting for Agent-to-Agent Communication and AI Protocols
Discover the shift from Model Context Protocol (MCP) to Agent-to-Agent (A2A) communication in AI, exploring the design, security, and validation challenges in multi-agent ecosystems.
Autonomous Agents Are Reframing AI Quality
The rise of agentic software is creating a fundamental challenge […]
Engineering AI Agents with Model Context Protocol (MCP)
Agentic AI is moving beyond text generation with the Model Context Protocol (MCP), enabling secure integration with enterprise systems, data, and APIs.
How Model Context Protocol (MCP) is Spurring AI Development
Model Context Protocol (MCP) bridges AI models with real enterprise systems, solving the specification gap and enabling secure, scalable AI adoption.
AI Leaders are Driving Real Business Value with MCP
The Model Context Protocol (MCP) is becoming the “USB port of AI,” bridging language models with enterprise systems. From LambdaTest to HubSpot and Confluent, leaders are proving MCP can boost developer productivity, democratize data, and unlock a new economy of AI services.
From MLOps to LLMOps—And Hardware Headaches Ahead
Organizations will require specialized infrastructure in order to effectively productionize any machine learning project at scale.
