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@kala shared a link, 1 month ago
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I Will Never Use AI to Code (or write)

This article discusses the negative impacts of relying on AI for coding and skill development. The cycle of using AI leading to skill decay, skill collapse, and the end of capability is highlighted as a major concern. The economic implications of AI usage in various industries and the lack of profit.. read more  

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@kala shared a link, 1 month ago
FAUN.dev()

Claude now creates interactive charts, diagrams and visualizations

Claude (beta) renders inline, temporary charts, diagrams, and visualizations in chat viaClaude Visual Composer. Visuals stay editable on request. Enabled by default. Claude can opt to generate visuals or follow direct prompts. Integrates withFigma,Canva, andSlack... read more  

Claude now creates interactive charts, diagrams and visualizations
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@kala shared a link, 1 month ago
FAUN.dev()

How AI Agents Automate CVE Vulnerability Research

A multi-agent system runs onGoogle's Agent Development Kit (ADK). It orchestrates specialized AI models for CVE research and report synthesis. It runso4-mini-deep-researchwith web search. On timeouts it falls back toGPT‑5. It extracts structured technical requirements. It maps those requirements to .. read more  

How AI Agents Automate CVE Vulnerability Research
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@kala shared a link, 1 month ago
FAUN.dev()

Agentic payments are coming. Is your company ready?

Google'sChromeadded native support forUniversal Commerce Protocol (UCP). That letsGeminiagents execute agentic payments and pause for user confirmation. Merchants and platforms such asPayPal,Amazon Rufus, andHome Depotran agentic commerce pilots.PayPalimplementedUCPsupport. Agent scraping and protoc.. read more  

Agentic payments are coming. Is your company ready?
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@devopslinks shared a link, 1 month ago
FAUN.dev()

Top 10 best practices for Amazon EMR Serverless

Amazon EMR Serverless allows users to run big data analytics frameworks without managing clusters, integrating with various AWS services for a comprehensive solution. The top 10 best practices for optimizing EMR Serverless workloads focus on performance, cost, and scalability, including consideratio.. read more  

Top 10 best practices for Amazon EMR Serverless
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@devopslinks shared a link, 1 month ago
FAUN.dev()

AI Isn't Replacing SREs. It's Deskilling Them.

This post discusses the impact of AI on the role of Site Reliability Engineers (SREs) by drawing parallels to historical research on automation. It highlights the risk of deskilling and never-skilling for SREs who heavily rely on AI tools for incident response. The post also suggests potential appro.. read more  

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@devopslinks shared a link, 1 month ago
FAUN.dev()

Building a Database on S3

This paper from 2008 proposes a shared-disk design over Amazon S3 for cloud-native databases, separating storage from compute. Clients write redo logs to Amazon SQS instead of directly to S3 to hide latency. The paper presents a blueprint for serverless databases before the term existed... read more  

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@devopslinks shared a link, 1 month ago
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Introducing Agentic Observability in NGINX: Real-time MCP Traffic Monitoring

NGINX ships an open-sourceAgentic ObservabilityJS module. It parsesMCPtraffic and extracts tool names, error statuses, and client/server identities. The module uses nativeOpenTelemetryto export spans. A Docker Compose reference wires upOTel collector,Prometheus, andGrafanafor realtime throughput, la.. read more  

Introducing Agentic Observability in NGINX: Real-time MCP Traffic Monitoring
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@devopslinks shared a link, 1 month ago
FAUN.dev()

AWS RDS Cost Optimization Guide: Cut Database Costs in 2026

Amazon RDS costs are not fixed - they vary based on configuration and usage. Making informed configuration and governance decisions is key to optimizing costs. Graviton instances offer better price-performance for common databases, while storage costs can be reduced by decoupling performance from ca.. read more  

AWS RDS Cost Optimization Guide: Cut Database Costs in 2026
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@eon01 published a course, 1 month ago
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FAUN.dev() is a developer-first platform built with a simple goal: help engineers stay sharp without wasting their time. It curates practical newsletters, thoughtful technical blogs, and useful developer tools that focus on signal over noise.

Created by engineers, for engineers, FAUN.dev() is where experienced developers turn to keep up with the fast-moving world of DevOps, Kubernetes, Cloud Native, AI, and modern programming. We handpick what matters and skip the fluff.

If it’s on FAUN.dev(), it’s worth your attention.

Beyond curation, we run a course marketplace (WIP) designed to keep developers current. These courses go deep into the subjects that shape real-world work—things like Kubernetes internals, modern DevOps workflows, cloud-native architecture, and using AI tools to build faster and smarter. It’s practical learning, taught by people who’ve done the work. Developers from companies like GitHub, Netflix, and Shopify already rely on FAUN.dev() to stay on top of their game. They trust us because we keep it real: no hype, no filler, just what you need to grow and do your best work. For sponsors and partners, FAUN.dev() offers access to a focused, engaged audience of technical professionals. This isn’t just another broad developer community—it’s a place where smart engineers go to get smarter. If you have something meaningful to offer them, you’ll be in good company. In short, FAUN.dev() is more than a content hub. It’s a place to grow, to learn, and to connect with what really matters in software today.