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Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Google’s Eight Essential Multi-Agent Design Patterns
Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential pipelines to human-in-the-loop architecture. The guide provides concrete explanations of each pattern along with sample code for Google's Agent Development Kit.
By Sergio De SimoneJava News Roundup: Spring Shell, JReleaser, TornadoInsight, Apache Camel
This week's relatively quiet Java roundup for December 29th, 2025, features news highlighting: the GA release of Spring Shell 4.0; point releases of JReleaser 1.22.0 and Apache Camel 4.14.3; and TornadoInsight now compatible with the recent release of TornadoVM 2.0.
By Michael RedlichDuckDB's WebAssembly Client Allows Querying Iceberg Datasets in the Browser
DuckDB has recently introduced end-to-end interaction with Iceberg REST Catalogs directly within a browser tab, requiring no infrastructure setup. The new feature leverages DuckDB-Wasm, a WebAssembly port of DuckDB that runs in the browser, allowing users to query, read, and write Iceberg tables in a serverless manner.
By Renato LosioAWS Introduces Fifth-Generation Graviton Processor with M9g Instances
AWS recently announced the new Graviton5 processor and the preview of the first EC2 instances running on it, the general-purpose M9g instances. According to the cloud provider, the latest chip delivers up to 25% higher performance than Graviton4, introduces the Nitro Isolation Engine, and provides a larger L3 cache, improving latency, memory bandwidth, and network throughput.
By Renato LosioMicrosoft Research Develops Novel Approaches to Enforce Privacy in AI Models
A team of AI researchers at Microsoft introduces two novel approaches for enforcing contextual integrity in large language models: PrivacyChecker, an open-source lightweight module that acts as a privacy shield during inference, and CI-CoT + CI-RL, an advanced training method designed to teach models to reason about privacy.
By Sergio De Simone
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