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@maydali28 started using tool Azure Kubernetes Service (AKS) , 1 week, 1 day ago.

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@sancharini shared a post, 1 week, 1 day ago

Why Understanding Software Testing Basics Is Essential for Every Developer?

Understand why software testing basics is essential for every developer. Learn key testing types, levels, techniques, and best practices to write reliable, maintainable, and high-quality code.

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@eon01 published a course, 1 week, 1 day ago

Founder, FAUN.dev

Practical MCP with FastMCP & LangChain

#LangCha... #Model C... #FastMCP #AI agen...

Engineering the Agentic Experience

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@kala added a new tool FastMCP , 1 week, 1 day ago.

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@kala shared an update, 1 week, 1 day ago

FAUN.dev()

FastMCP 3.0 Released: Community-Driven Enhancements Unveiled

#FastMCP #FastMCP... #Prefect... #AI #MCP

FastMCP 3.0 is now generally available. It keeps the @mcp.tool() API but rebuilds the internals around components + providers + transforms, adds a CLI, and ships production features like component versioning, per-component auth + OAuth additions, OpenTelemetry tracing, background tasks, pagination, tool timeouts, and hot reload. The project moved from jlowin/fastmcp to PrefectHQ/fastmcp on GitHub, and upgrading is supported via dedicated guides for FastMCP 2 and MCP SDK users.

FastMCP 3.0 Released: Community-Driven Enhancements Unveiled

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@laura_garcia shared a post, 1 week, 2 days ago

Software Developer, RELIANOID

🚀 Ready to level up your #AppSec skills?

Join us at London OWASP Training Days 2026 – February 25–28 in London! Hands-on, instructor-led sessions covering: 🔹 API Security 🔹 Secure Development & Testing 🔹 Threat Modeling & Risk Analysis 🔹 AI & Security 🔹 Mobile & IoT Security 🔹 Offensive Security & Pentesting Learn from the global OWASP com..

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