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@adrian_schmidt started using tool Express , 1 month, 2 weeks ago.

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@adrian_schmidt started using tool AWS Lambda , 1 month, 2 weeks ago.

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@adrian_schmidt started using tool Amazon Web Services , 1 month, 2 weeks ago.

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@adrian_schmidt started using tool Amazon SES , 1 month, 2 weeks ago.

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@adrian_schmidt started using tool Amazon S3 , 1 month, 2 weeks ago.

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@adrian_schmidt started using tool Amazon EC2 , 1 month, 2 weeks ago.

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@adrian_schmidt started using tool Amazon Cloudfront , 1 month, 2 weeks ago.

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@adrian_schmidt started using tool Amazon ALB , 1 month, 2 weeks ago.

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@laura_garcia shared a post, 1 month, 2 weeks ago

Software Developer, RELIANOID

𝗕𝗲𝘁𝘁 𝗕𝗿𝗮𝘀𝗶𝗹 𝟮𝟬𝟮𝟲

📍 São Paulo, Brazil 📅 May 5–8, 2026 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 is heading to 𝗕𝗲𝘁𝘁 𝗕𝗿𝗮𝘀𝗶𝗹 𝟮𝟬𝟮𝟲 — 𝘵𝘩𝘦 𝘭𝘢𝘳𝘨𝘦𝘴𝘵 𝘌𝘥𝘛𝘦𝘤𝘩 𝘦𝘷𝘦𝘯𝘵 𝘪𝘯 𝘓𝘢𝘵𝘪𝘯 𝘈𝘮𝘦𝘳𝘪𝘤𝘢. 🚀 46,000+ professionals 💡 270+ companies 🌍 One shared goal: transforming education Let’s talk about secure, scalable, and high-performance digital learning. 👉 See you at Expo Cen..

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@koukibadr shared a link, 1 month, 2 weeks ago

Mobile Developer, Nventive

LiveData vs StateFlow

LiveData and StateFlow both stream data reactively, but differ in two key ways:

Initialization — LiveData needs no initial value; StateFlow requires one.

Lifecycle — LiveData is lifecycle-aware by default; StateFlow is not, so you need to wrap it in repeatOnLifecycle to avoid memory leaks.

TruffleHog is a high-accuracy secret-detection tool designed to uncover exposed credentials such as API keys, tokens, private keys, and cloud secrets across large codebases. Originally created to scan Git commit history, it has evolved into a multi-source scanning engine capable of analyzing GitHub, GitLab, Bitbucket, Docker images, file systems, Terraform states, and cloud environments.

The scanner combines entropy detection, an extensive library of regular expression detectors, and live credential validation to minimize false positives. TruffleHog is widely used in security research, supply chain security, DevSecOps workflows, and bug bounty programs. Its speed, accuracy, and broad ecosystem coverage make it a core tool for identifying and preventing credential leakage in modern software development.