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@devopslinks shared a link, 2 weeks ago
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From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response

Google Cloud SREs just leveled up their incident response game with theGemini CLI- an LLM-fueled terminal sidekick built onGemini 3. It jumps in fast: drafts mitigation playbooks, digs into root causes, and cranks out postmortem reports. All withhuman-in-the-loopguardrails to keep things sane... read more  

From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response
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@kala shared an update, 2 weeks ago
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GitHub Launches Copilot SDK to Embed Agentic AI into Any Application

GitHub Copilot GitHub Copilot SDK

GitHub has released the Copilot SDK in technical preview, allowing developers to embed Copilot’s agentic execution loop into their own applications. The SDK supports multiple AI models, real-time streaming, and languages like Python, TypeScript, Go, and .NET, but currently requires a Copilot subscription and is intended for development and testing rather than production use.

GitHub Launches Copilot SDK to Embed Agentic AI into Any Application
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@varbear shared an update, 2 weeks ago
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VillageSQL Launches: A Drop-In MySQL Fork Bringing Extensions and AI to the Core

MySQL VillageSQL

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 , 2 weeks ago.
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@varbear added a new tool VillageSQL , 2 weeks ago.
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@devopslinks shared an update, 2 weeks, 1 day ago
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MinIO Ends Community Development, Positions AIStor as the Future

MinIO AIStor

MinIO has marked its open-source GitHub repository as "THIS REPOSITORY IS NO LONGER MAINTAINED," effectively ending active community development.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 , 2 weeks, 1 day ago.
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@gbdhodh-glitch started using tool Python , 2 weeks, 1 day ago.
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@abdelbxl started using tool Windows Server , 2 weeks, 1 day ago.
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@abdelbxl started using tool Vault , 2 weeks, 1 day ago.
Magika is an open-source file type identification engine developed by Google that uses machine learning instead of traditional signature-based heuristics. Unlike classic tools such as file, which rely on magic bytes and handcrafted rules, Magika analyzes file content holistically using a trained model to infer the true file type.

It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.

Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.

Magika is commonly used in scenarios such as:

- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response