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What we learned building a Rust orchestration layer for a real multi-agent AI system — from A2A protocol churn and manual agent loops to Agent Skills and context design.
March 2026 | Issue #1 Welcome to SIGNAL. This is a monthly briefing for CTOs, VP Engineering, and Chief Architects running distributed systems at scale. We don’t aggregate news. We aggregate lessons. Every month: one architecture debate with real trade-offs, one production war story with solutions, and three critical signals with business context. No hype […]
1. Introduction: Agentic AI is a Backend Engineering Challenge, Not Just Prompt Engineering LLM models are useless without access to data. They can generate text, but to “find suitable candidates for open vacancies,” they must call real APIs, read results from a database, and make decisions based on the current state of the system. While […]
Rust and Scala are used to build high-performance backend systems, but they take very different approaches. Neither language is “better” overall – each excels in different use cases. In this article, we provide a neutral, developer-focused comparison of Rust and Scala in terms of concurrency, stream processing, shared state, programming style, error handling, and memory […]