Insights
Engineering Insights
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.
Agentic vision: Building visual intelligence with Amazon Bedrock and MCP servers
In this post, we walk you through the Computer Vision MCP Server, which illustrates this approach, representing how AI systems can process visual information and make intelligent decisions through a single, standardized interface. This convergence transforms what was once a complex integration challenge into a streamlined process, making AI capabilities accessible to a broader range of applications and developers.
Guten Tag, Bonjour, Hola to Our European Cyber Defenders!
We're thrilled to unveil the latest evolution of Dark Reading's DR Global section — your go-to source for region-specific cybersecurity intelligence beyond North America.
Monitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards
In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure.
Thinking Machines Lab Drops Its First Model
Inkling, a 975-billion-parameter open source model, was trained to understand video and audio. It could help Thinking Machines establish itself among competitors like Anthropic and OpenAI.
Cloud Cost Optimization Was Hard; AI Cost Optimization Will Be Worse.
For the last decade, cloud cost optimization has been one of the most painful disciplines in enterprise technology. Every CTO, CIO, Head of Engineering, platform leader, and FinOps team knows the story.
Building Faster Cryptography with Carryless Multiplication in NVIDIA CUDA 13.3
For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It’s a small but stubborn primitive that... For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It’s a small but stubborn primitive that sits underneath authenticated encryption, error-correcting codes, and modern zero-knowledge proofs. Until now, NVIDIA GPUs lacked native support for this operation. NVIDIA CUDA 13.3 close
What building Shippy taught us about building agents
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