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LLM Engineering

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MCP Roots vs Resources vs Tools architecture showing AI agent scope data and executable capabilities
AI & Agentic Engineering
DAY 15: MCP Roots vs Resources vs Tools: 7 Powerful Data Access Patterns Every AI Engineer Must Master

MCP Roots vs Resources vs Tools explains the practical difference between scope, information, and executable capabilities in production MCP servers, including security,…

Shahnawaz Khan Aug 8, 2026 46 min read
MCP Roots security architecture showing workspace validation, path protection, AI context and MCP server controls
AI & Agentic Engineering
DAY 14: MCP Roots Explained: Powerful and Secure Filesystem Access for AI Agents

Learn MCP Roots security with 7 powerful lessons covering path validation, permissions, root changes, AI context, RAG, tools, and safe filesystem access.

Shahnawaz Khan Aug 8, 2026 42 min read
AI Red Team Testing enterprise AI security and adversarial QA strategy
AI in Testing & QA
AI Red Team Testing: Building Adversarial Test Suites for Enterprise AI Systems

AI Red Team Testing helps QA Engineers uncover prompt injection, data leakage, RAG attacks, tool abuse, and AI security risks before production.

Shahnawaz Khan Aug 7, 2026 48 min read
n8n 2.33.6 feature flag testing strategy for QA Engineers
Tool News
n8n 2.33.6 Released: Feature Flags, Regression Testing & QA Strategy

n8n 2.33.6 is a focused maintenance release that changes backend PostHog feature-flag retrieval. Here's what QA Engineers and SDETs should validate before…

Shahnawaz Khan Aug 7, 2026 32 min read
LangGraph Reducers for state management in AI workflows
AI Developer Tools
LangGraph Reducers: The Powerful Foundation for Managing State in Complex AI Workflows

LangGraph Reducers provide a powerful way to control how state updates are combined inside complex AI workflows. Learn how reducers support parallel…

Shahnawaz Khan Aug 7, 2026 54 min read
LangGraph Retry Policies for reliable AI workflows
AI Developer Tools
LangGraph Retry Policies: Building Resilient AI Workflows That Recover Automatically

Learn LangGraph Retry Policies with practical Python examples, retry strategies, exponential backoff, jitter, error handling, idempotency, and production-ready AI workflow patterns.

Shahnawaz Khan Aug 7, 2026 43 min read
LangGraph Send API dynamic parallel AI workflow architecture
AI Developer Tools
LangGraph Send API: Building Dynamic Parallel AI Workflows for Enterprise Applications

Learn how the LangGraph Send API enables dynamic parallel execution in LangGraph applications. This comprehensive guide covers workflow architecture, Python implementation, enterprise…

Shahnawaz Khan Aug 7, 2026 24 min read
RAG Testing Strategy architecture showing retrieval validation, hallucination detection, grounding verification, AI evaluation metrics, code examples, and enterprise QA workflow
AI & Agentic Engineering
RAG Testing Strategy: 10 Essential Validation Techniques Every QA Engineer Must Master in 2026

RAG Testing Strategy is becoming an essential skill for QA Engineers, SDETs, and AI Test Engineers. This comprehensive guide covers retrieval accuracy,…

Shahnawaz Khan Aug 6, 2026 20 min read
CrewAI 1.15.12 Released highlighting URLReadTool, unified CLI project creation, metadata improvements, enhanced diagnostics, and QA guidance
Tool News
CrewAI 1.15.12 Update: New Features, URLReadTool, CLI, Bug Fixes & Upgrade Guide

CrewAI 1.15.12 Released introduces the new URLReadTool, unified project scaffolding with crewai create, richer application metadata, improved diagnostics, and documentation updates. Learn…

Shahnawaz Khan Aug 6, 2026 16 min read
Node.js 26.7.0 Released highlighting Test Runner coverage improvements, Perfetto tracing, crypto updates, security enhancements, and QA guidance
Tool News
Node.js 26.7.0 Released: Test Runner, Crypto & Performance Updates

Node.js 26.7.0 Released delivers new Test Runner coverage capabilities, built-in Perfetto support, stronger cryptographic features, updated root certificates, and module lifecycle improvements.…

Shahnawaz Khan Aug 6, 2026 16 min read