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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability.
In this post you'll learn how to build a multi-agent campaign review system that demonstrates parallel reasoning, context persistence, and traceable execution paths using an integrated architecture that combines NVIDIA NIM for GPU-accelerated inference. Amazon Bedrock AgentCore provides managed runtime, shared memory and built-in observability and Strands Agents provide serverless multi-agent orchestration. This approach supports performance, scalability, and operational insight in production en
The Kubernetes project relies on transparency to empower cluster administrators and security researchers. One important way we do that is by publishing CVE records into the Common Vulnerabilities and Exposures database. As part of our ongoing effort to mature the official Kubernetes CVE Feed, we have identified some discrepancies. CVE records for a few older, unfixed issues incorrectly include a fixed version field. The Kubernetes Security Response Committee (SRC) will correct the affected CVE r
Posted by Jingyu Shi, Staff Developer Relations Engineer At Google I/O 2026, we introduced Android’s shift from an operating system to an intelligence system. We also demonstrated how you can build intelligent experiences natively with the system and bring the power of Google’s AI into your apps. If you missed these updates, check out our quick recap video here: 1. Putting your apps at the center of the intelligence system The Android OS already enables agents like Gemi
In this post, we demonstrate the capabilities of AgentWatch through practical implementation. You will see how the solution performs infrastructure checks every 15 minutes, summarizing CloudWatch metrics, logs, and alarms across multiple AWS accounts. The agent delivers actionable reports directly to Slack and responds to natural language queries about your infrastructure state. Throughout, we explore three human-in-the-loop patterns that maintain appropriate oversight while maximizing automatio
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Hugging Face debuts $2,500 bipedal robot project for builders and researchers.
Want to get more out of your GitHub Copilot experience? Here are some easy ways to get started. The post Doing More with GitHub Copilot as a .NET Developer appeared first on .NET Blog.
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