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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.
The guidance aims to establish product cybersecurity requirements for IoT devices integrated into federal agencies’ networks. The post NIST Opens Updated IoT Security Guidance to Public Review appeared first on SecurityWeek.
More than half of the bugs are use-after-free defects, which can potentially lead to remote code execution. The post Chrome 149 Update Resolves 18 Severe Vulnerabilities appeared first on SecurityWeek.
Ryan sits down with Anish Agarwal, CEO and co-founder of Traversal, to chat about why AI coding agents have made writing code easier but running it safely in production harder, why production failures are really caused by interactions between systems and not just the code itself, and how teams can troubleshoot more effectively when traditional observability tools are not enough for agentic AI workflows.
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Today, we are thrilled to announce the release of Boundary 1.0, a milestone that marks the evolution from an initial concept to a fully robust and scalable solution for modern privilege access management (PAM), now proven across many production environments. Like other HashiCorp 1.0 releases, this milestone is not centered on any specific feature but instead represents a significant achievement in terms of user experience, coverage of use cases, architecture maturation, and production deployment
In Boundary, a target alias is a simple, powerful tool. It lets you connect to infrastructure using a memorable name instead of a random, generated ID. It gives developers something intuitive to work with. But those aliases lived exclusively at the global scope. They must be globally unique across your entire deployment. As infrastructure scales, so does everything around it. More teams. More environments. More cloud accounts. More services. What doesn't scale well is centralization. Especial
Coding agents can produce working UI fast, but what's harder is a different shape. They can copy your product's style, match its patterns, and try to follow its conventions. What they cannot do is understand why those patterns exist. Code shows agents what shipped, not why one component, phrase, or interaction became your standard. That reasoning lives in design reviews, PR comments, Slack threads, and with the people who were in the room. For an agent, context that isn't in the codebase doesn't
AI SDK 7 is a major release for building production agents in TypeScript. The SDK has grown from model calls and chat primitives into a broader agent platform for developing, running, integrating, and observing agents across text, audio, realtime, image, and video. Every major provider is supported out of the box. AI SDK 7 introduces two breaking requirements: Run the v7 codemods to automate the majority of import and rename changes before reviewing semantic migration items manually. See the .fu
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