# News: March 30, 2026

> 9 curated links on AI agents, Python, security, Google Cloud, and engineering, selected by Médéric Hurier.

- Author: [Médéric Hurier (Fmind)](https://www.fmind.dev/)
- Published: 2026-03-30
- URL: https://www.fmind.dev/news/2026-03-30/

- [How to build production-ready AI agents with Google-managed MCP servers](<https://cloud.google.com/blog/products/ai-machine-learning/how-to-build-ai-agents-with-google-managed-mcp-servers/>): Google now offers managed Model Context Protocol (MCP) servers to securely connect AI agents with services like Google Maps, BigQuery, and GKE.
- [Five techniques to reach the efficient frontier of LLM inference](<https://cloud.google.com/blog/topics/developers-practitioners/five-techniques-to-reach-the-efficient-frontier-of-llm-inference/>): This technical guide explores optimizing LLM performance through semantic routing, prefill/decode disaggregation, quantization, context routing, and speculative decoding.
- [Speaking of Voxtral](<https://mistral.ai/news/voxtral-tts>): Mistral AI has released Voxtral TTS, a 4B parameter multilingual text-to-speech model featuring low latency and emotionally expressive speech across nine languages.
- [Build an AI Agent knowledge base using SQL (BigQuery + Gemini)](<https://www.youtube.com/watch?v=zvmtHZSt8es>): This tutorial demonstrates how to leverage SQL with BigQuery and Gemini to construct robust knowledge bases for AI agents.
- [How to Build a production-ready RAG AI agent](<https://www.youtube.com/watch?v=Ni1P8TITtE8>): A technical walkthrough on implementing production-grade Retrieval-Augmented Generation (RAG) within AI agent architectures.
- [Agentic AI at Scale: Why It’s a Marathon, Not a Sprint](<https://medium.com/@hugo.sechier/agentic-ai-at-scale-why-its-a-marathon-not-a-sprint-and-how-not-to-hit-the-wall-1082c1a4431a>): This article discusses the long-term technical and adoption hurdles of deploying AI agents in enterprise environments, emphasizing reliability over speed.
- [Why I Vibe in Go, Not Rust or Python](<https://lifelog.my/episode/why-i-vibe-in-go-not-rust-or-python>): An essay examining why Go's compiler and simplicity make it an ideal language for AI-assisted development compared to the fragility of Python or the complexity of Rust.
- [From AI Hype to Enterprise Execution: How to Actually Scale AI in 2026 with Linda Yao](<https://www.youtube.com/watch?v=9qTT0f7oSeQ&si=FEZVNQ-tXN1LF-qd>): Industry experts discuss the transition from AI experimentation to scalable enterprise execution strategies for 2026.
- [Elon Musk's Terafab semiconductor project could cost $5 trillion](<https://www.tomshardware.com/tech-industry/semiconductors/elon-musks-terafab-semiconductor-project-could-cost-usd5-trillion-bernstein-claims-herculean-effort-would-cost-more-than-70-percent-of-the-total-yearly-us-government-budget>): Bernstein analysts estimate that Elon Musk’s ambitious Terafab project would require massive capital and resources, potentially costing more than 70% of the annual US government budget.