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@devopslinks shared a link, 1 week, 3 days ago
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Google API Keys Weren't Secrets. But then Gemini Changed the Rules

A report reveals Google Cloud'sAPI keysuse the same format for public IDs and secret auth. That overlap lets public keys reach theGemini API. New keys default toUnrestricted. Existing keys can be retroactively granted Gemini access. Google will add scoped defaults, block leaked keys, and notify affe.. read more  

Google API Keys Weren't Secrets. But then Gemini Changed the Rules
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How to scale GitOps in the enterprise: From single cluster to fleet management

In GitOps, the "Argo Ceiling" is the point where tooling that worked at a small scale becomes unmanageable as you scale up to multiple clusters. To address this, you can consider using OCI registries and ConfigHub as alternative state store options. When it comes to secrets management, options like .. read more  

How to scale GitOps in the enterprise: From single cluster to fleet management
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The real cost of random I/O

Therandom_page_costwas introduced ~25 years ago, and its default value has remained at 4.0 since then. Recent experiments suggest that the actual cost of reading a random page may be significantly higher than the default value, especially on SSDs. Lowering therandom_page_costmay not always be the be.. read more  

The real cost of random I/O
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@varbear shared a link, 1 week, 3 days ago
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The best new features of C# 14

C# 14 ships with.NET 10. It addsfile-based apps. Run a single .cs file from the command line. No project or solution files. It also adds extension members and extension blocks. They bring extension properties, grouped receivers, and a cleaner extension syntax... read more  

The best new features of C# 14
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@varbear shared a link, 1 week, 3 days ago
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How we reduced the size of our Agent Go binaries by up to 77%

The Datadog Agent cut its Go binaries size by up to 77% in six months, removing unnecessary dependencies and enabling linker optimizations to trim artifacts significantly... read more  

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@varbear shared a link, 1 week, 3 days ago
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I Taught My Dog to Vibe Code Games

DogKeyboardruns onRaspberry Pi. It filters Bluetooth keystrokes, proxies them toClaude Code, and triggers a feeder overZigbee. Builds useGodot 4.6andC#. Automated screenshot/replay testers, a scene linter, a shader linter, and an input mapper letClaude Codeauto-test, patch, and relaunch games... read more  

I Taught My Dog to Vibe Code Games
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@varbear shared a link, 1 week, 3 days ago
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The Linux Foundation reveals the "ugly" secret of how open source is draining your budget

Linux Foundation report finds contributors get2x–5x ROI. It also finds45%of organizations runprivate forksthat cost ~5,000labor hours per release. The report introduces anROI modelthat values contributions bylabor cost, not lines‑of‑code. It simulates cross‑project tradeoffs... read more  

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@varbear shared a link, 1 week, 3 days ago
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Malicious Next.js Repos Target Developers Via Fake Job Interviews

Linked to North Korean fake job-recruitment campaigns, the poisoned repositories are aimed at establishing persistent access to infected machines... read more  

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@laura_garcia shared a post, 1 week, 4 days ago
Software Developer, RELIANOID

🍺 Cyberattack on Asahi Group: Why Japan’s Industrial Sector Can’t Afford to Wait

We’re resharing this post because its relevance has only grown. Japan’s largest brewer, Asahi Group, was recently hit by a major ransomware attack that disrupted production and logistics operations nationwide. The timing is striking: the incident came just days after Japan enacted its new Cyber Defe..

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@mashka shared a link, 1 week, 5 days ago
Paid Acquisition and Growth Marketing, xygeni

Your Copilot Just Pushed Code to Prod. Did Anyone Check the Security?

AI copilots like GitHub Copilot and Cursor can push production-ready code instantly—but CI-only security scans catch issues after merge, when it’s too late. In this live session, see how to detect vulnerabilities in real time inside the IDE, validate reachability before merge, apply guardrails to AI-generated code, and auto-fix safely. Includes live demo securing Copilot and AI agent workflows. 📅 March 11, 2026 👉 Register https://www.linkedin.com/events/7432784645383110656/

Webinars Creas
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.