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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.
OpenAI’s GPT-5.6 family is now rolling out in GitHub Copilot. GPT-5.6 comes in three variants, Sol, Terra, and Luna, so you can match the model to the job, whether that’s… The post OpenAI’s GPT-5.6 Sol, Terra, and Luna are now available in GitHub Copilot appeared first on The GitHub Blog.
In this post, we show where MCP tool design goes wrong and how to fix it with practical context engineering approaches.
In this post, we walk through five capabilities now available in SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hugging Face Hub, local NVMe model loading for faster cold starts, automated Route 53 DNS for custom domains, and pod-level IAM through custom service accounts.
Here’s a question we hear often at Google Cloud: How do you safely run AI-generated code or untrusted binaries without putting your host application, data, and cloud credentials at risk? In other words, how do you give AI-written programs a safe space to run — one that keeps them completely separate from your trusted programs with higher privileges? Until now, developers had to build complex sandboxing infrastructure using container clusters or pay for specialized third-party microVM runtimes. T
GitHub had over 14,000 repositories. Fewer than half had clear ownership. Here's how we gave every active repository a validated owner in under 45 days, archived the rest, and made ownership the foundation for everything that followed. The post How GitHub gave every repository a durable owner appeared first on The GitHub Blog.
In this post, you walk through a practical migration scenario where a Node.js web application running on EC2 instances is migrated into a highly scalable, containerized service on EKS Auto Mode. You will learn how to configure and use the AWS and Amazon EKS MCP Servers with Kiro CLI to automate critical migration tasks from Dockerfile creation and image optimization to Kubernetes manifest generation and production deployment on EKS Auto Mode.
Intelligence stopped being the bottleneck. Almost nobody has rebuilt their engineering around that fact yet. For three years, the industry has obsessed over one question: can we build intelligent systems? That question is basically settled. The models are good — good enough that nobody serious argues otherwise anymore.
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