Kenshi Security
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Kenshi Security builds operational intelligence for systems that can’t fail.
The platform combines Ronin AI for cloud infrastructure workflows and Kage for anti-cheat and anti-tamper protection. Ronin lets teams describe infrastructure in plain English, draft deployment plans, run security and cost checks, and support deployments across AWS, GCP, Azure, and Cloudflare with audit trails on every change.
Kage focuses on competitive integrity for games, protecting from hardware to application through detection modules, runtime hardening, and anti-tamper controls.
Kenshi is built for teams that need infrastructure visibility, secure deployment workflows, uptime, integrity, and protection across cloud and gaming environments.
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Kenshi Security's answer
Kenshi Security combines two operational security domains in one platform: cloud infrastructure control through Ronin AI and anti-cheat / anti-tamper protection through Kage.
Ronin AI focuses on infrastructure planning, security checks, deployment workflows, audit trails, and supported cloud providers. Kage focuses on runtime integrity, anti-tamper controls, detection modules, and protection from hardware through application.
The differentiator is the shared operating model: infrastructure, integrity, telemetry, and security controls are treated as one operational surface rather than separate tools.
Kenshi Security's answer
Choose Kenshi Security if the requirement is not just monitoring, but controlled action.
Ronin AI is built for teams that need to describe infrastructure changes, review generated plans, run security and cost checks, deploy across supported cloud providers, and retain auditability around each change.
Kage is built for environments where runtime integrity, anti-tamper protection, and cheat resistance are part of the product’s security model.
Kenshi is most relevant for teams where uptime, deployment safety, infrastructure visibility, and system integrity are operational requirements.
Kenshi Security's answer
Kenshi Security is built for technical teams operating cloud infrastructure, competitive software environments, or systems where integrity and uptime matter.
Primary audiences include:
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Managing reactive state and dependent computations in JavaScript can get complex, especially when combining asynchronous and synchronous data. RS-X is a library that allows you to bind expressions to plain objects and makes the parts of the model used by those expressions fully reactive. Dependent computations automatically update when the underlying data changes. RS-X is framework-agnostic. While it can drive UI... - Source: Hacker News / 7 months ago
I like htmx, LiveView, React and Solid. They are great at different points, so I try to combine them in Solv (Stateless Offline-capable LiveView) and write a prototype to show the benefits. Solv's main idea is that stateless servers keep client's state in a volatile cache. It enables server components that are also interactive, which is best of both worlds between LiveView and htmx. Then fine-grained reactivity is... - Source: Hacker News / 10 months ago
I like htmx, LiveView, React and Solid. They are great at different points, and this is a prototype trying to combine them. Solv's main idea is that stateless servers keep client's state in a volatile cache. It enables server components that are also interactive, which is best of both worlds between LiveView and htmx. Then fine-grained reactivity is added to achieve efficient DOM updates + minimal payload size.... - Source: Hacker News / 10 months ago
In the code editor tab (powered by StackBlitz), navigate to the env.ts file and enter your OpenAI key. Run npm run generate in the terminal to see how @autoview generates TypeScript frontend code from example schemas derived from both TypeScript types and OpenAPI documents. - Source: dev.to / over 1 year ago
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