Updates and recent posts about Winston AI..

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@laura_garcia shared a post, 2 months, 3 weeks ago

Software Developer, RELIANOID

𝘗𝘰𝘴𝘵-𝘘𝘶𝘢𝘯𝘵𝘶𝘮 𝘊𝘳𝘺𝘱𝘵𝘰𝘨𝘳𝘢𝘱𝘩𝘺: Preparing for 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗘𝗿𝗮

🚀 𝘗𝘰𝘴𝘵-𝘘𝘶𝘢𝘯𝘵𝘶𝘮 𝘊𝘳𝘺𝘱𝘵𝘰𝘨𝘳𝘢𝘱𝘩𝘺: Preparing for 𝘁𝗵𝗲 𝗡𝗲𝘅𝘁 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗘𝗿𝗮 Quantum computers are approaching, and with them comes a threat to traditional encryption like RSA and ECC. At 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗, we’re taking action now to ensure your infrastructure stays secure in a post-quantum world. How we’re prepar..

Story FAUN.dev() Team

@eon01 shared a post, 2 months, 3 weeks ago

Founder, FAUN.dev

16 Things Anthropic Didn't Want You to Know About Claude Code

#Claude ... #Claude ... #Leak #Anthrop... #Claude

Earlier today (March 31, 2026), Anthropic accidentally shipped the full source code of Claude Code inside an npm package. The 512,000 lines of TypeScript have since been picked apart by the developer community, and what's inside is more revealing than anyone expected.

News FAUN.dev() Team Trending

@kala shared an update, 2 months, 3 weeks ago

FAUN.dev()

Anthropic Accidentally Leaks Claude Code's Entire Source Code via npm

#Claude ... #Claude ... #NPM #Anthrop... #AI

Anthropic shipped a source map file inside the latest npm release of Claude Code - and with it, the full source code of its flagship AI coding CLI. The leak exposed 512,000 lines of TypeScript across 1,900 files, 43 built-in tools, 44 feature flags, 26 hidden slash commands, and over 120 secret environment variables. It is one of the most detailed accidental exposures of a commercial AI product's internals to date.

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@himanshu shared a post, 2 months, 3 weeks ago

What if your backend is failing but your UI looks perfectly fine?

Struggling with hidden bugs? Learn how application programming interface testing ensures accurate data flow, security, and performance.

Story CubeAPM Team

@cubeapm shared a post, 2 months, 3 weeks ago

How OpenTelemetry Helps Teams Change Observability Backends Without Re-Instrumenting Everything

#OpenTel... #observa...

1. OpenTelemetry reduces backend coupling by standardizing how telemetry is generated, described, transported, and processed before it reaches any observability platform.

2. The biggest migration advantage comes from using OpenTelemetry APIs and SDKs, OTLP, and the Collector, which make telemetry pipelines more portable across backends.

3. The Collector is the operational pivot point because it can receive, process, and export telemetry to one or more destinations from a centralized control layer.

4. OpenTelemetry does not eliminate backend migration work, since teams still need to validate dashboards, alerts, queries, retention rules, and other backend-specific workflows.

5. The safest migration approach is incremental: standardize telemetry first, validate both old and new backends, then cut over gradually.

How OpenTelemetry Helps Teams Change Observability Backends Without Re-Instrumenting Everything

Story

@laura_garcia shared a post, 2 months, 3 weeks ago

Software Developer, RELIANOID

𝗝𝗮𝗽𝗮𝗻 𝗜𝗧 & 𝗗𝗫 𝗪𝗲𝗲𝗸!

🚀 𝗛𝗲𝗮𝗱𝗶𝗻𝗴 𝘁𝗼 𝗧𝗼𝗸𝘆𝗼 𝗳𝗼𝗿 𝗝𝗮𝗽𝗮𝗻 𝗜𝗧 & 𝗗𝗫 𝗪𝗲𝗲𝗸! 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 will be at the 23rd Information Security Expo Spring 2026 from April 8–10 at Tokyo Big Sight – 𝗝𝗮𝗽𝗮𝗻’𝘀 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝘀𝗵𝗼𝘄𝗰𝗮𝘀𝗲 𝗳𝗼𝗿 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀. Come see how our advanced ADC and secure application delivery solutions help protect critical infr..

Story

@laura_garcia shared a post, 2 months, 3 weeks ago

Software Developer, RELIANOID

Maritime Cybersecurity Is Still Too Weak – And the Risks Are Growing

🚢 Maritime Cybersecurity Is Still Too Weak – And the Risks Are Growing As ships become smarter, greener, and more connected, their cyber defenses remain worryingly outdated. 📉 Over 80% of shipowners have faced cyberattacks in the past 3 years 💸 Average cost per attack: $3.1 million 🎣 Phishing causes..

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@pramod_kumar_0820 shared a link, 2 months, 3 weeks ago

Software Engineer, Teknospire

Java 26 Released 🚀: What’s New, What Matters & Why It’s Faster Than Ever

Java 26 (March 2026) is out, and while it’s not a headline-heavy release, it brings meaningful improvements where it counts — performance, networking, and concurrency.

Some notable updates:

🌐 HTTP/3 support (QUIC-based, lower latency, better reliability)

🧵 Structured Concurrency (Preview) for safer multithreading

⚡ JVM & GC optimizations improving startup and runtime performance

🧠 Continued evolution of pattern matching

🧪 Vector API (Incubator) for high-performance workloads

This release is less about flashy features and more about incremental improvements that impact real-world systems.

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@mmaksimovic shared a link, 2 months, 3 weeks ago

Monitoring Your App Without Running Your Own Prometheus Stack

When to use Prometheus and when to look for other solutions.

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@tellsaqib shared a link, 2 months, 3 weeks ago

How Cloudways is manages its 90K servers fleet using Agentic SRE

Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fleet

Winston AI is an advanced, all-in-one content verification platform designed to deliver the most accurate AI content detection available today. Recognized as the best AI detector by educators, students, publishers, journalists, researchers, and businesses worldwide, Winston AI helps users confidently verify whether content is written by a human, generated by AI, or a combination of both.

Built for academic, professional, and enterprise use, Winston AI addresses the growing need for transparency and authenticity in an AI-driven world. Whether reviewing essays, research papers, articles, marketing content, or digital publications, Winston AI provides fast, reliable, and explainable results that users can trust.

At the core of Winston AI is a powerful AI content checker capable of identifying text generated by ChatGPT, Claude, Google Gemini, and all known AI models. Winston AI continuously updates its detection systems to keep pace with the rapidly evolving AI landscape, ensuring consistent accuracy even as new models and writing techniques emerge.

Winston AI analyzes content at a deep linguistic level, evaluating structure, predictability, and stylistic patterns to distinguish AI-generated text from human writing. This advanced approach reduces false positives and delivers clear probability scores, helping users make informed decisions without uncertainty.

Winston AI goes beyond basic AI detection by offering a comprehensive suite of tools designed to support content authenticity, credibility, and integrity across multiple formats.

AI Detector
Accurately identifies AI-generated, human-written, and mixed text with detailed confidence scores and sentence-level insights.

Plagiarism Checker
Detects copied or unoriginal content across academic and professional sources, supporting originality and ethical content creation.

Fact Checker Tool
Helps verify claims and statements within content, reducing misinformation and improving accuracy for research, journalism, and publishing.

AI Image & Deepfake Detector
Analyzes images to determine whether they were generated or manipulated by AI, helping users identify synthetic visuals and deepfake content.

Writing Feedback
Provides actionable feedback on clarity, structure, and quality, supporting students, educators, and professionals in improving written work.

HUMN-1 Website Certification
Allows websites to display a trust signal certifying human-verified content, reinforcing transparency and credibility with audiences and search engines.

Together, these tools make Winston AI a complete solution for verifying authenticity, accuracy, originality, and credibility across text, images, and websites.