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This article presents a least-privilege AI Agent Gateway that places clear controls between AI agents and infrastructure. Agents do not access infrastructure APIs directly. Instead, every request is validated, authorized using policy as code with Open Policy Agent (OPA), and executed in short-lived, isolated environments, with built-in observability using OpenTelemetry.
In this podcast, Michael Stiefel spoke with Chris Richardson about using microservices to modernize software applications and the use of artificial intelligence in software architecture. We first discussed the problems of monolithic enterprise software and how to use microservices to evolve them to enable fast flow - the ability to achieve rapid software delivery.
Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding libraries, though productivity gains were not statistically significant. Those who used AI for conceptual inquiry scored 65% or higher, while those delegating code generation to AI scored below 40%.
Tejas Kumar explains the trajectory of AI innovation, moving beyond the hype of 2024’s RAG into the "year of agents" in 2025. He shares how technologies like the Model Context Protocol (MCP) will dismantle traditional web UX, allowing developers to build tool-based ecosystems where AI handles everything from shopping to calendar management, prioritizing human life over digital navigation.
Rivet Sandbox Agent SDK provides a universal API for coding agents, allowing developers to work with different agent runtimes like Claude Code, Codex, OpenCode, and Amp without rewriting their integration for each one. It addresses the fragmentation across agent APIs, session handling, and streaming formats that has historically made agent integrations complex and difficult to maintain.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Article: Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners
This article presents a least-privilege AI Agent Gateway that places clear controls between AI agents and infrastructure. Agents do not access infrastructure APIs directly. Instead, every request is validated, authorized using policy as code with Open Policy Agent (OPA), and executed in short-lived, isolated environments, with built-in observability using OpenTelemetry.
By Nabin DebnathPodcast: Software Evolution with Microservices and LLMs: A Conversation with Chris Richardson
In this podcast, Michael Stiefel spoke with Chris Richardson about using microservices to modernize software applications and the use of artificial intelligence in software architecture. We first discussed the problems of monolithic enterprise software and how to use microservices to evolve them to enable fast flow - the ability to achieve rapid software delivery.
By Chris RichardsonAnthropic Study: AI Coding Assistance Reduces Developer Skill Mastery by 17%
Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding libraries, though productivity gains were not statistically significant. Those who used AI for conceptual inquiry scored 65% or higher, while those delegating code generation to AI scored below 40%.
By Steef-Jan WiggersPresentation: AI Innovation in 2025 and Beyond
Tejas Kumar explains the trajectory of AI innovation, moving beyond the hype of 2024’s RAG into the "year of agents" in 2025. He shares how technologies like the Model Context Protocol (MCP) will dismantle traditional web UX, allowing developers to build tool-based ecosystems where AI handles everything from shopping to calendar management, prioritizing human life over digital navigation.
By Tejas KumarRivet Launches the Sandbox Agent SDK to Solve Agent API Fragmentation
Rivet Sandbox Agent SDK provides a universal API for coding agents, allowing developers to work with different agent runtimes like Claude Code, Codex, OpenCode, and Amp without rewriting their integration for each one. It addresses the fragmentation across agent APIs, session handling, and streaming formats that has historically made agent integrations complex and difficult to maintain.
By Sergio De Simone