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

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

#Claude ...ย  #Claude ...ย  #NPMย  #Anthrop...ย  #AIย 
Claude Code

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.

Claude Code leaked source
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@himanshu shared a post, 1ย month, 1ย week 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.

api testing
Story CubeAPM Team
@cubeapm shared a post, 1ย month, 1ย week ago

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

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
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@laura_garcia shared a post, 1ย month, 1ย week ago
Software Developer, RELIANOID

๐—๐—ฎ๐—ฝ๐—ฎ๐—ป ๐—œ๐—ง & ๐——๐—ซ ๐—ช๐—ฒ๐—ฒ๐—ธ!

๐Ÿš€ ๐—›๐—ฒ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐—ง๐—ผ๐—ธ๐˜†๐—ผ ๐—ณ๐—ผ๐—ฟ ๐—๐—ฎ๐—ฝ๐—ฎ๐—ป ๐—œ๐—ง & ๐——๐—ซ ๐—ช๐—ฒ๐—ฒ๐—ธ! ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— will be at the 23rd Information Security Expo Spring 2026 from April 8โ€“10 at Tokyo Big Sight โ€“ ๐—๐—ฎ๐—ฝ๐—ฎ๐—ปโ€™๐˜€ ๐—น๐—ฎ๐—ฟ๐—ด๐—ฒ๐˜€๐˜ ๐˜€๐—ต๐—ผ๐˜„๐—ฐ๐—ฎ๐˜€๐—ฒ ๐—ณ๐—ผ๐—ฟ ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐˜€๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป๐˜€. Come see how our advanced ADC and secure application delivery solutions help protect critical infr..

japan it dx week april 26 relianoid
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@laura_garcia shared a post, 1ย month, 1ย week ago
Software Developer, RELIANOID

Maritime Cybersecurity Is Still Too Weak โ€“ And the Risks Are Growing

๐Ÿšข Maritime Cybersecurity Is Still Too Weak โ€“ And the Risks Are Growing As ships become smarter, greener, and more connected, their cyber defenses remain worryingly outdated. ๐Ÿ“‰ Over 80% of shipowners have faced cyberattacks in the past 3 years ๐Ÿ’ธ Average cost per attack: $3.1 million ๐ŸŽฃ Phishing causes..

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@pramod_kumar_0820 shared a link, 1ย month, 1ย week ago
Software Engineer, Teknospire

Java 26 Released ๐Ÿš€: Whatโ€™s New, What Matters & Why Itโ€™s Faster Than Ever

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

Some notable updates:

๐ŸŒ HTTP/3 support (QUIC-based, lower latency, better reliability)

๐Ÿงต Structured Concurrency (Preview) for safer multithreading

โšก JVM & GC optimizations improving startup and runtime performance

๐Ÿง  Continued evolution of pattern matching

๐Ÿงช Vector API (Incubator) for high-performance workloads

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

java_26_released_version
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@mmaksimovic shared a link, 1ย month, 1ย week ago

Monitoring Your App Without Running Your Own Prometheus Stack

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

Monitoring Your App Without Running Your Own Prometheus Stack
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@tellsaqib shared a link, 1ย month, 1ย week 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

How Cloudways is manages its 90K servers fleet using Agentic SRE
News FAUN.dev() Team
@kala shared an update, 1ย month, 1ย week ago
FAUN.dev()

Anthropic Asked 81,000 People What They Want From AI. Here's What They Said.

#Studyย  #researc...ย  #Anthrop...ย  #Claudeย  #AIย 
Claude Code Claude

Anthropic's global AI study surveyed 80,508 participants across 159 countries, revealing desires for more personal time and concerns about AI's unreliability and job displacement. Sentiments vary regionally, with lower-income countries seeing AI as an equalizer, while Western Europe and North America focus on governance issues. The study highlights a complex mix of hope and fear regarding AI's impact.

Anthropic Asked 81,000 People What They Want From AI. Here's What They Said.
ย Activity
@kala added a new tool Claude , 1ย month, 1ย week ago.
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.