Cloud, Data, and DevOps Engineering, Demystified
Practical insights on AWS, GCP, Data Engineering, and DevOps automation — tutorials built from real-world engineering experience you can actually use.
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view blog →Google AI Agents Live + Labs Benelux 2025: Hands-On with ADK and Winning the Hackathon Experience
This article reflects on our experience at Google AI Agents Live + Labs Benelux 2025, highlighting hands-on work with the Agent Development Kit (ADK) and a deep dive into our winning hackathon project: a production-oriented DataOps AI agent built on Google Cloud.
Read moreMCP vs RAG vs Function Calling – Understanding the Differences Clearly
As LLM architectures mature, teams often struggle to choose between MCP, RAG, and function calling. This article provides a clear, practical comparison of these approaches, explains what each one actually solves, and shows how they work together in real production systems.
Read moreMCP Clients Explained – How Models Consume Context Safely
MCP servers expose context and capabilities, but MCP clients determine how models consume them safely. This article explains the role of an MCP client, how it brokers access between models and systems, and why client-side design is critical for reliability, security, and correctness.
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