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@faun shared a link, 3 months, 1 week ago

Journey to 1000 models: Scaling Instagram’s recommendation system

Instagram'sML setup now wrangles more than1000 models. They've cooked up amodel registryand anautomated launch platform. Together, these cut deployment time from days to mere hours, keeping things rock-solid and amping up productivity...

Journey to 1000 models: Scaling Instagram’s recommendation system
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@faun shared a link, 3 months, 1 week ago

Cloudflare Expands AI Capabilities with Launch of Thirteen New MCP Servers

Cloudflare'slatest brainchild: theModel Context Protocolservers. Think AI sidekicks, expertly juggling tasks like debugging and security audits without throwing chaos into the mix. No more rogue workloads causing headaches. These13 powerhouse serverssharpen AI integration withCloudflareservices, tur..

Cloudflare Expands AI Capabilities with Launch of Thirteen New MCP Servers
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@faun shared a link, 3 months, 1 week ago

Sync Claude Code conversations with Issues, & your git commits with your Issues, & track the history of your LLM-generated code

AI coding assistants boost developer productivity by offering real-time, context-aware code suggestions and automating routine tasks. Powered by large language models like GPT and Code LLaMA, they understand project context and improve accuracy with static analysis and reinforcement learning. Top to..

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@faun shared a link, 3 months, 1 week ago

Why developer expertise matters more than ever in the age of AI

Agent Modenow flexes withMCP supportfor everyone onVS Code. And hey,GitHub Copilot Pro+? It's not just another upgrade; think high-grade code insights and faster know-how...

Why developer expertise matters more than ever in the age of AI
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@faun shared a link, 3 months, 1 week ago

The Rise of Energy and Water Consumption Using AI Models, and How It Can Be Reduced

AI and data centers gobble up 2-3% of the world's electricity.Expect that number to swell. All those chatty AI models? They gulpup to 500ml of water per conversationjust to keep cool. Techniques like transfer learning and model distillation play hero roles in hacking down AI's thirst for energy. Mod..

The Rise of Energy and Water Consumption Using AI Models, and How It Can Be Reduced
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@faun shared a link, 3 months, 1 week ago

LangChain vs. Langfuse

LangChainconducts LLM workflows with finesse. It's like a symphony, swapping components as easily as React swaps elements in the DOM. MeetLangfuse, your backstage pass. It deconstructs complex LLM setups into structured datasets, offering a front-row view to every single model interaction...

LangChain vs. Langfuse
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@faun shared a link, 3 months, 1 week ago

New Crypto-Jacking Attacks Target DevOps and AI Infrastructure

Wizpopped the hood on a sneaky crypto-jacking scheme. Meet JINX-0132, an operation that hijacksNomad, Consul, Docker,andGiteamisconfigurations to stay under the radar. Meanwhile,Sysdigraised the alarm on a copycat act aimed atOpen WebUI. It’s a growing trend that flips exposed infrastructure into a ..

New Crypto-Jacking Attacks Target DevOps and AI Infrastructure
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@faun shared a link, 3 months, 1 week ago

The Future of AI-Augmented Infrastructure: Letting AI Handle the Terraform Tax

Terraformreviews drag teams through "invisible costs," even with sleek tools. AI jumps in, offering sharper, context-savvy vetting without shaking up current workflows...

The Future of AI-Augmented Infrastructure: Letting AI Handle the Terraform Tax
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@faun shared a link, 3 months, 1 week ago

Go is 80/20 language

Gokeeps it simple, delivering 80% of the goods with just 20% of the mess. But some critics sniff around, demanding more for their extra 36% effort.Swiftproves the point that more isn’t always better with its extra baggage...

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@faun shared a link, 3 months, 1 week ago

Engineering Principles for Building a Successful Cloud-Prem Solution

Cloud-Premmarries cloud's nimble speed with on-prem's tight grip. It fuses avendor-managed control planewith acustomer-owned data plane—a dream match for regulated sectors.Redpanda's BYOCslashed costs tenfold by axing egress fees. Meanwhile,Couchbase's Capellaserves up hybrid deployment like a maste..

Engineering Principles for Building a Successful Cloud-Prem Solution
ForgeMT is an open-source, production-grade platform designed to solve the complexity of running GitHub Actions runners at scale. Instead of teams managing their own fragile and duplicated CI runner setups, ForgeMT centralizes orchestration into a single, multi-tenant system built for scalability, security, and cost efficiency.

The platform provisions ephemeral runners on both EC2 and Kubernetes (EKS) using Terraform and Terragrunt, ensuring workloads scale up instantly and tear down to zero when idle, reducing costs. It enforces strong tenant isolation with AWS IAM, OIDC integration, and network segmentation, giving each team a secure boundary without requiring separate infrastructure.

ForgeMT integrates seamlessly with GitHub via a GitHub App and webhook events, automatically spinning up the right type of runner when jobs start. It supports advanced autoscaling strategies with Karpenter, spot instance optimization, and observability through centralized logging and monitoring.

By removing operational overhead, ForgeMT helps organizations accelerate delivery, cut cloud costs, and meet security requirements — all while giving developers fast, ephemeral CI runners that just work.