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@kala shared a link, 1ย month ago
FAUN.dev()

Our most intelligent open models, built from Gemini 3 research and technology to maximize intelligence-per-parameter

Built from Gemini 3 research and technology, Gemma 4 offers maximum compute and memory efficiency for mobile and IoT devices. Develop autonomous agents, multimodal applications, and multilingual experiences with Gemma 4's unprecedented intelligence-per-parameter... read more ย 

Our most intelligent open models, built from Gemini 3 research and technology to maximize intelligence-per-parameter
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@kala shared a link, 1ย month ago
FAUN.dev()

State of Context Engineering in 2026

Context engineering has evolved in the AI engineering field since mid-2025 with the introduction of patterns for managing context effectively. These patterns include progressive disclosure, compression, routing, retrieval strategies, and tool management, each addressing a different dimension of the .. read more ย 

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@kala shared a link, 1ย month ago
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From zero to a RAG system: successes and failures

An engineer spun up an internal chat with a localLLaMAmodel viaOllama, a PythonFlaskAPI, and aStreamlitfrontend. They moved off in-memoryLlamaIndexto batch ingestion intoChromaDB(SQLite). Checkpoints and tolerant parsing went in to stop RAM disasters. Indexing produced 738,470 vectors (~54 GB). They.. read more ย 

From zero to a RAG system: successes and failures
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@devopslinks shared a link, 1ย month ago
FAUN.dev()

RAM is getting expensive, so squeeze the most from it

The Register contrastszramandzswap. It flags a patch that claims up to 50% fasterzramops. It notes Fedora enableszramby default. It details thatzramprovides compressed inโ€‘RAM swap (LZ4).zswapcompresses pages before writing to disk and requires onโ€‘disk swap... read more ย 

RAM is getting expensive, so squeeze the most from it
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@devopslinks shared a link, 1ย month ago
FAUN.dev()

Supply Chain Attack on Axios Pulls Malicious Dependency from npm

A supply chain attack on Axios introduced a malicious dependency, plain-crypto-js@4.2.1, published minutes earlier and absent from the projectโ€™s GitHub releases... read more ย 

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@devopslinks shared a link, 1ย month ago
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Deployment strategies: Types, trade-offs, and how to choose

Deployment strategies control traffic shifts, rollback speed, and release risk. Options:canary,blueโ€‘green,rolling,feature flags,shadow,immutable, andGitOps. Strategies trade production risk for setup cost. They pair withArgo Rollouts,Kayenta,ArgoCD/Flux, service meshes, and flag platforms. Pipelines.. read more ย 

Deployment strategies: Types, trade-offs, and how to choose
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@devopslinks shared a link, 1ย month ago
FAUN.dev()

Scaling a Monolith to 1M LOC: 113 Pragmatic Lessons from Tech Lead to CTO

The post discusses performance issues related to page counts, long cron-job reads, RAM pressure, and offloading work to background jobs. It also touches on common sources of front-end performance issues, the importance of running EXPLAIN on DB queries, and the benefits of cultivating a culture of op.. read more ย 

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@devopslinks shared a link, 1ย month ago
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Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fle

Cloudways scaled from a bootstrapped startup to a leading managed PHP hosting service, encountering challenges with growing support load. Early on, Cloudways recognized the opportunity to implement an AI-based SRE agent to reduce the burden on support teams and provide faster diagnosis and resolutio.. read more ย 

Scaling Autonomous Site Reliability Engineering: Architecture, Orchestration, and Validation for a 90,000+ Server Fle
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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐˜—๐˜ฐ๐˜ด๐˜ต-๐˜˜๐˜ถ๐˜ข๐˜ฏ๐˜ต๐˜ถ๐˜ฎ ๐˜Š๐˜ณ๐˜บ๐˜ฑ๐˜ต๐˜ฐ๐˜จ๐˜ณ๐˜ข๐˜ฑ๐˜ฉ๐˜บ: Preparing for ๐˜๐—ต๐—ฒ ๐—ก๐—ฒ๐˜…๐˜ ๐—–๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐—˜๐—ฟ๐—ฎ

๐Ÿš€ ๐˜—๐˜ฐ๐˜ด๐˜ต-๐˜˜๐˜ถ๐˜ข๐˜ฏ๐˜ต๐˜ถ๐˜ฎ ๐˜Š๐˜ณ๐˜บ๐˜ฑ๐˜ต๐˜ฐ๐˜จ๐˜ณ๐˜ข๐˜ฑ๐˜ฉ๐˜บ: Preparing for ๐˜๐—ต๐—ฒ ๐—ก๐—ฒ๐˜…๐˜ ๐—–๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐—˜๐—ฟ๐—ฎ Quantum computers are approaching, and with them comes a threat to traditional encryption like RSA and ECC. At ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐——, weโ€™re taking action now to ensure your infrastructure stays secure in a post-quantum world. How weโ€™re prepar..

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@eon01 shared a post, 1ย month, 1ย week ago
Founder, FAUN.dev

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

Claude Code

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.

Claude Code Leaked
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.