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@varbear shared an update, 3 months, 1 week ago
FAUN.dev()

VillageSQL Launches: A Drop-In MySQL Fork Bringing Extensions and AI to the Core

VillageSQL MySQL

VillageSQL is a drop-in, open-source fork of MySQL that introduces a true extension framework, enabling permissionless innovation for AI-era workloads. It allows developers to add custom data types and functions - with vector indexing and search on the roadmap - bringing MySQL closer to PostgreSQL-style extensibility without waiting for core upstream changes.

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@kala added a new tool GitHub Copilot SDK , 3 months, 1 week ago.
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@varbear added a new tool VillageSQL , 3 months, 1 week ago.
News FAUN.dev() Team Trending
@devopslinks shared an update, 3 months, 1 week ago
FAUN.dev()

MinIO Ends Community Development, Positions AIStor as the Future

AIStor MinIO

MinIO has marked its open-source GitHub repository as "THIS REPOSITORY IS NO LONGER MAINTAINED," effectively ending active community development. The company is shifting focus to AIStor, its subscription-based enterprise object storage platform. The code remains available under AGPLv3, but future innovation and support are centered on the commercial product.

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@devopslinks added a new tool AIStor , 3 months, 1 week ago.
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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

Pink26: ITSM – The Next Generation 🚀

📍 February 16–18, 2026 | Las Vegas The future of IT Service Management starts here. Pink26 brings together global IT leaders for a powerful mix of innovation, learning, and real-world transformation — inspired by the spirit of Star Trek: The Next Generation. From ITSM and DevOps to AI, Agile, and Ex..

pink26 las vegas relianoid
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@shubham321 shared a post, 3 months, 1 week ago
Software engineer, Keploy

Latency Test Guide: How to Boost App Speed and Improve UX

Did you know 100ms of lag can cost you 1% in sales? Learn how to master the latency test to isolate network, application, and database bottlenecks for a snappier, more reliable user experience

Latency testing (2)
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@laura_garcia shared a post, 3 months, 1 week ago
Software Developer, RELIANOID

🔁 Resharing insights from our CEO on the next decade of cybersecurity (2026–2036)

🔁 Resharing insights from our CEO on the next decade of cybersecurity (2026–2036) Cybersecurity is not heading toward a single dramatic disruption. It is undergoing a structural transformation. In her latest analysis, our CEO outlines the fundamental shifts that will define the next ten years: 🔐 ..

Story Keploy Team
@sancharini shared a post, 3 months, 1 week ago

Delta Testing in Agile Releases: How to Validate Changes Without Retesting Everything?

Learn how delta testing helps Agile teams validate code changes efficiently, reduce regression scope, and accelerate CI/CD releases without retesting everything.

Delta Testing in Software Testing
Story
@laura_garcia shared a post, 3 months, 2 weeks ago
Software Developer, RELIANOID

Post-Quantum Cryptography is no longer theoretical. It’s strategic.

Quantum computing will eventually break RSA and ECC — the foundations of today’s secure communications. The industry is already preparing for “Q-Day,” with NIST standardizing algorithms like CRYSTALS-Kyber and Dilithium. We are entering a hybrid era that demands crypto agility. At RELIANOID, we’re p..

Blog Post-Quantum Cryptography
Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.