Software Testing

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

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

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

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

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

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

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

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

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

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