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Curated links from external sources — not 360Softy original articles.

ExternalCloud
Cloudflare Changelog

Radar - Finer-grained chart granularity on Cloudflare Radar for longer time ranges

Radar now provides finer-grained traffic charts for longer time ranges. Previously, selecting a 1-3 month view on HTTP and NetFlows charts defaulted to weekly aggregation, which was too coarse to surface meaningful trends. Views longer than 3 months defaulted to monthly aggregation, returning as few as 7 data points for a 6-month range. The new defaults are: 1-3 months: daily granularity (7x more data points) Longer than 3 months (HTTP and NetFlows): weekly granularity (4x more data points) For

Radar
Cloudflare ChangelogRead original
ExternalCloud
Cloudflare Changelog

Gateway, Cloudflare Mesh, Workers VPC - Filter Workers' public Internet traffic using Gateway policies

Workers using a VPC Network binding with network_id: "cf1:network" now egress to public Internet destinations through Cloudflare Gateway. This means your existing Zero Trust traffic policies — DNS, HTTP, Network, and egress — extend to traffic that originates from your Workers, the same way they do for WARP users today. Worker Calls env.EGRESS.fetch() VPC binding ↓ Cloudflare Mesh Bind via cf1:network ↓ Cloudflare Gateway Policies applied: DNS HTTP Ne

GatewayCloudflare MeshWorkers VPC
Cloudflare ChangelogRead original
ExternalFrontend Development
Vercel Blog

The skills.sh API is now available

The API is now available. Authenticate with your project's and start querying more than 600,000 skills from across the open-source ecosystem.skills.shVercel OIDC token Search for skills, pull detailed info on any one, check its security audit, and more. Vercel issues a short-lived token scoped to your team and project, rotated automatically, so there's no long-lived secret to leak or rotate. On each request, skills.sh verifies the token and applies a rate limit of 600 requests per minute per t

Vercel BlogRead original
ExternalSoftware Engineering
DEV Community

From 9 Tiles to 900: Scaling Computer Vision Pipelines

The scale wall A computer vision pipeline that works on one image at one resolution isn't a pipeline. It's a prototype. The moment you move beyond controlled inputs, you hit the reality of production images: a 4K video frame, a satellite capture, a whole-slide pathology image, a high-resolution document scan. These images don't fit in a single model call. They're too large, too detailed, and too information-dense for one inference pass to handle well. So you tile it. You divide the image into

awsserverlesscomputervision
DEV CommunityRead original
ExternalSoftware Engineering
DEV Community

Our VP's AI Wrote 3,000 Tests. Production Cost $700K. I Deleted Every Single One.

Based on real industry trends. About an AI testing tool promising 300x efficiency, a VP who rebranded hand-written automation as "manual testing," and a $700K SLA bill nobody saw coming. VP Harrison stood in front of the screen, the AI testing dashboard glowing behind him. "Three days. Three thousand test cases. Zero human intervention." He paused. Let his eyes sweep the room. They landed on me. "And some people — six years. Maintained four hundred automated test cases. That's less than twenty p

aidiscusstesting
DEV CommunityRead original
ExternalSoftware Engineering
DEV Community

Documenting my AI Learning Journey !!

As a recent Computer Science graduate, I've decided to commit myself to learning AI consistently and sharing that journey publicly. In a world where many people document their daily lives, I want to document something that is transforming my future—my growth as an AI Engineer. This is my very first dev post, and the beginning of what I hope will be a long series of learning notes, project breakdowns, insights, challenges, and discoveries in AI, Machine Learning, LLMs, Agents, RAG, System Design,

aibuildinpubliclearning
DEV CommunityRead original

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