Author: Rodrigo Gardin
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Agent-to-Agent (A2A) Protocol: How AI Systems Are Learning to Work Together in 2026
The Model Context Protocol solved half the problem: it gave AI agents a standard way to connect to tools. But what happens when agents need to talk to each other — across different frameworks, vendors, and organizational boundaries? That is the gap the Agent-to-Agent (A2A) Protocol was built to close, and one year in, it’s…
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Explainable AI: Making Black-Box Models Transparent
On August 2, 2026, the EU AI Act’s high-risk provisions take full effect — and the clock is running. For any engineering team deploying AI in financial services, healthcare, or hiring, this isn’t a compliance checkbox. It’s a legal mandate requiring that your models be auditable, interpretable, and explainable on demand. The penalty for non-compliance:…
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Building Scalable MLOps Pipelines with MLflow and Kubeflow
The MLOps market hit $3.18 billion in 2025 and is growing at a 42% CAGR — yet Gartner estimates that nearly 70% of ML projects still never reach production. Teams are investing in machine learning at record pace, but most are discovering the hard truth: building a model is not the hard part. Keeping it…