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ContentUpdates and recent posts about LangChain..
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@devopslinks shared a link, 1 month, 1 week ago
FAUN.dev()

I Cannot SSH Into My Server Anymore (And That’s Fine)

A dev ditched their $100/month VPS for a clean, automated CoreOS setup. No SSH. No clicking around. JustIgnition,Podman Quadlets, andTerraformdoing the heavy lifting. It boots from YAML, spins up containers with systemd, and keeps itself fresh withPodman auto-updates, zero-touch, straight from the r.. read more  

I Cannot SSH Into My Server Anymore (And That’s Fine)
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@devopslinks shared a link, 1 month, 1 week ago
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CodeBreach: Supply Chain Vuln & AWS CodeBuild Misconfig

Wiz Research dropped details onCodeBreach, a serious flaw that cracked open AWS SDK GitHub repos, yes, including the popular JavaScript one. The root problem? Leakyregex filtersin CodeBuild pipelines. They missed anchors, so attackers slipped in rogue pull requests, dodged build rules, and stole hig.. read more  

CodeBreach: Supply Chain Vuln & AWS CodeBuild Misconfig
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@devopslinks shared a link, 1 month, 1 week ago
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Nanoservices: Why Serverless Got Architecture Right

A fresh take onAWS Lambdaand serverless: thinknanoservices- tiny, isolated functions instead of chunky microservices. No shared state or shared runtime but clean separation, lean logic, and fewer ways to screw up scaling. Where microservices can spiral into spaghetti, nanoservices stay crisp. Each f.. read more  

Nanoservices: Why Serverless Got Architecture Right
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@devopslinks shared a link, 1 month, 1 week ago
FAUN.dev()

Supply-chain risk of agentic AI - infecting infrastructures via skill worms

AI assistants with shell, network, or filesystem "skills" don't just help, they expose. These hooks can run commands before any human checks the model’s output. That means a bigger attack surface. More room for lateral movement. Easier persistence. In setups where tools like Claude Code run often, i.. read more  

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@kala shared an update, 1 month, 1 week ago
FAUN.dev()

OpenClaw - Former Moltbot, Former Clawdbot - Went Viral Overnight. Then Security Reality Hit.

OpenClaw

OpenClaw, an open-source AI assistant platform, has been launched, evolving from Clawdbot and Moltbot. It features new plugins, enhanced security, and support for new models, while addressing a major security vulnerability. The platform emphasizes community involvement and invites contributions for its development.

OpenClaw - Former Moltbot, Former Clawdbot - Went Viral Overnight. Then Security Reality Hit.
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@kala added a new tool OpenClaw , 1 month, 1 week ago.
News FAUN.dev() Team
@kaptain shared an update, 1 month, 1 week ago
FAUN.dev()

Cluster API v1.12 Released: In-Place Updates and Chained Upgrades

Kubernetes

Cluster API v1.12 introduces in-place updates and chained upgrades to enhance Kubernetes cluster management. In-place updates modify existing machines without deletion, while chained upgrades streamline multi-version upgrades. The release also includes improvements to immutable rollouts and various bug fixes.

Cluster API v1.12 Released: In-Place Updates and Chained Upgrades
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@laura_garcia shared a post, 1 month, 1 week ago
Software Developer, RELIANOID

Shield Your Core 🛡️

Cybersec Asia is coming to Bangkok on February 4–5, 2026 — the key APAC event for cybersecurity, cloud, and data protection. 🌏 Bringing together global and regional leaders to tackle evolving threats and unlock new opportunities across CLMVT & APAC. 🤝 Meet RELIANOID and discover how we deliver secur..

cybersec asia 2026 RELIANOID
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@sancharini shared a post, 1 month, 1 week ago

Verification vs Validation Explained for Beginners in QA

Learn the difference between verification vs validation in QA. This beginner-friendly guide explains how both ensure software is built correctly and meets user expectations.

Verification vs Validation
LangChain is a modular framework designed to help developers build complex, production-grade applications that leverage large language models. It abstracts the underlying complexity of prompt management, context retrieval, and model orchestration into reusable components. At its core, LangChain introduces primitives like Chains, Agents, and Tools, allowing developers to sequence model calls, make decisions dynamically, and integrate real-world data or APIs into LLM workflows.

LangChain supports retrieval-augmented generation (RAG) pipelines through integrations with vector databases, enabling models to access and reason over large external knowledge bases efficiently. It also provides utilities for handling long-term context via memory management and supports multiple backends like OpenAI, Anthropic, and local models.

Technically, LangChain simplifies building LLM-driven architectures such as chatbots, document Q&A systems, and autonomous agents. Its ecosystem includes components for caching, tracing, evaluation, and deployment, allowing seamless movement from prototype to production. It serves as a foundational layer for developers who need tight control over how language models interact with data and external systems.