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Software Testing

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AutoGen agent-to-agent conversations multi-agent workflow architecture
AI Developer Tools
AutoGen Agent-to-Agent Conversations: How AI Agents Communicate

AutoGen agent-to-agent conversations turn individual AI agents into collaborative workflows. Learn how to design agent responsibilities, communication contracts, context handoffs, validation, sequential…

Shahnawaz Khan Aug 9, 2026 57 min read
Reliable AutoGen AI agent architecture with instructions context validation security and observability
AI Developer Tools
AutoGen AI Agent: Build Your First AI Agent From Scratch

An AutoGen AI agent is more than a model wrapped in Python. Learn how to design, evaluate, validate, observe, and secure reliable…

Shahnawaz Khan Aug 9, 2026 55 min read
AutoGen installation and setup for Python AI agent development
AI Developer Tools
AutoGen Installation and Setup: Prepare Your AI Agent Development Environment

AutoGen installation is only the beginning. Learn how to build a reliable Python development environment with virtual environments, dependencies, configuration, secure API…

Shahnawaz Khan Aug 9, 2026 51 min read
AutoGen AI agents and multi-agent architecture for building intelligent AI applications
AI Developer Tools
What is AutoGen and Why Multi-Agent AI Changes Everything

AutoGen is a framework for building AI-agent applications and multi-agent systems. Learn what AutoGen is, how AI agents work, why multiple agents…

Shahnawaz Khan Aug 8, 2026 64 min read
Claude Code agentic coding workflow with AI coding agent, repository analysis, testing, debugging and code review
AI Developer Tools
Claude Code Agentic Coding: Advanced Agentic Coding Workflows for Real-World Projects

Claude Code is evolving beyond code generation into agentic software engineering. Learn how to build controlled workflows for repository exploration, planning, implementation,…

Shahnawaz Khan Aug 8, 2026 40 min read
MCP Elicitation workflow showing user input, validation, authorization, and AI agent Tool execution
AI & Agentic Engineering
MCP Client Capabilities Explained: Roots, Sampling, Elicitation and Experimental Features

MCP Elicitation enables safer AI agents by requesting user input, validating decisions, and controlling high-impact MCP actions.

Shahnawaz Khan Aug 8, 2026 48 min read
MCP Roots vs Resources vs Tools architecture showing AI agent scope data and executable capabilities
AI & Agentic Engineering
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
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
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