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In this article, the authors outline protocols for building extensible multi-agent MLOps systems. The core architecture deliberately decouples orchestration from execution, allowing teams to incrementally add capabilities via discovery and evolve operations from static pipelines toward intelligent, adaptive coordination.
By Shashank Kapoor, Sanjay Surendranath Girija, Lakshit Arora
Google Research tried to answer the question of how to design agent systems for optimal performance by running a controlled evaluation of 180 agent configurations. From this, the team derived what they call the "first quantitative scaling principles for AI agent systems", showing that multi-agent coordination does not reliably improve results and can even reduce performance.
This week's Java roundup for February 9th, 2026, features news highlighting: the first release candidate of JDK 26 and Gradle 9.4; milestone releases of Micrometer Metrics and Micrometer Tracing; beta releases of Open Liberty 26.0.0.2 and EclipseStore 4.0; and maintenance releases of Spring Framework, Micronaut, Quarkus.
LocalStack has recently announced changes to the delivery of its AWS Cloud emulators, dropping the popular open source Community Edition, and creating a single image that requires registration. Projects that currently pull the latest community image will need to update their workflows.
In an effort to probe the limits of autonomous software development Anthropic used sixteen Claude Opus 4.6 AI agents to build a Rust-based C compiler from scratch. Working in parallel on a shared repository, the agents coordinated their changes and ultimately produced a compiler capable of building the Linux 6.9 kernel across x86, ARM, and RISC-V, as well as many other open-source projects.
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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: Architecting Agentic MLOps: A Layered Protocol Strategy with A2A and MCP
In this article, the authors outline protocols for building extensible multi-agent MLOps systems. The core architecture deliberately decouples orchestration from execution, allowing teams to incrementally add capabilities via discovery and evolve operations from static pipelines toward intelligent, adaptive coordination.
By Shashank Kapoor, Sanjay Surendranath Girija, Lakshit AroraGoogle Explores Scaling Principles for Multi-agent Coordination
Google Research tried to answer the question of how to design agent systems for optimal performance by running a controlled evaluation of 180 agent configurations. From this, the team derived what they call the "first quantitative scaling principles for AI agent systems", showing that multi-agent coordination does not reliably improve results and can even reduce performance.
By Sergio De SimoneJava News Roundup: JDK 26-RC1, Spring Framework, Open Liberty, EclipseStore, Gradle
This week's Java roundup for February 9th, 2026, features news highlighting: the first release candidate of JDK 26 and Gradle 9.4; milestone releases of Micrometer Metrics and Micrometer Tracing; beta releases of Open Liberty 26.0.0.2 and EclipseStore 4.0; and maintenance releases of Spring Framework, Micronaut, Quarkus.
By Michael RedlichLocalStack for AWS Drops Community Edition Raising Developer Concerns
LocalStack has recently announced changes to the delivery of its AWS Cloud emulators, dropping the popular open source Community Edition, and creating a single image that requires registration. Projects that currently pull the latest community image will need to update their workflows.
By Renato LosioSixteen Claude Agents Built a C Compiler Without Human Intervention... Almost
In an effort to probe the limits of autonomous software development Anthropic used sixteen Claude Opus 4.6 AI agents to build a Rust-based C compiler from scratch. Working in parallel on a shared repository, the agents coordinated their changes and ultimately produced a compiler capable of building the Linux 6.9 kernel across x86, ARM, and RISC-V, as well as many other open-source projects.
By Sergio De Simone