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@kala shared a link, 1 day, 22 hours ago
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Introducing Claude Tag

Anthropic's Claude Tag beta gives Slack teams a shared agent they can tag in a channel, assign tasks to, and connect to approved tools. Teams gain three practical benefits: - Claude can keep channel context, so teammates avoid re-explaining project history. - Admins can scope memory and tool access .. read more  

Introducing Claude Tag
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@kala shared a link, 1 day, 22 hours ago
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OpenClaw’s Skill Marketplace and the Emerging AI Supply Chain Threat

Unit 42 researchers found five malicious ClawHub skills that attackers had designed to pass the marketplace's post-incident automated checks... read more  

OpenClaw’s Skill Marketplace and the Emerging AI Supply Chain Threat
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@devopslinks shared a link, 1 day, 22 hours ago
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IaC Isn't Dying. AI Makes it More Important

Teams that use AI to generate infrastructure code need IaC as the system of record that platform teams govern. Engineers can produce changes faster, so platform teams must absorb more work through review, policy, testing, integration, and rollout... read more  

IaC Isn't Dying. AI Makes it More Important
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@devopslinks shared a link, 1 day, 22 hours ago
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I Finally Tried Niri, The New Way Of Tiling Linux Users Are Going Crazy About

Niri lets you keep tiled windows in a scrollable strip, so you can add, move, and focus windows without rebuilding your layout. With Dank Linux, you get that workflow as a complete desktop, with polished defaults and the pieces you expect already wired up... read more  

I Finally Tried Niri, The New Way Of Tiling Linux Users Are Going Crazy About
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@devopslinks shared a link, 1 day, 22 hours ago
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Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMs

AWS gave developers a Lambda option for running user- or AI-generated code inside stateful Firecracker microVMs. The key use case: AI coding agents can execute untrusted snippets, install dependencies, keep a workspace warm, and destroy the environment after the task ends. Firecracker gives each tas.. read more  

Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMs
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@devopslinks shared a link, 1 day, 22 hours ago
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Why your microVM sandbox solves a particular problem very well, but not the agent security problem.

Use MicroVMs to contain host-escape risk from coding agents. You still need capability controls: grant the agent access to specific files, scoped credentials, approved services, and permitted mutations after you place repos and credentials inside the VM... read more  

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@devopslinks shared a link, 1 day, 22 hours ago
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Nginx as a Reverse Proxy

How Nginx works as a reverse proxy, from its worker architecture to rate limiting, HTTP/2, security headers, and tuning workers to match the server... read more  

Nginx as a Reverse Proxy
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@devopslinks shared a link, 1 day, 22 hours ago
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In praise of memcached

Choose memcached as the default cache because it keeps the cache boundary clear. It offers no persistence, so your app must rebuild cached values from the source of truth after a restart or eviction. It also pushes failure handling into client code, so engineers must decide how the app behaves durin.. read more  

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@laura_garcia shared a post, 2 days, 4 hours ago
Software Developer, RELIANOID

Zero Trust in Hybrid Environments

🔐 Zero Trust isn’t just about identity — it’s about where identity is enforced. In hybrid and multi-cloud environments, security breaks when identity stops at login and doesn’t control traffic flow. Our latest article explores why the application delivery layer is becoming the new Zero Trust enfor..

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@laura_garcia shared a post, 3 days, 3 hours ago
Software Developer, RELIANOID

How to Load Balance Navitaire

✈️ Airline platforms can't afford downtime. Discover how RELIANOID helps improve the availability, performance, and security of Navitaire environments with load balancing, high availability, SSL offloading, and advanced protection capabilities. Read the 3-minute guide. 👇 https://www.relianoid.com/re..

GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.