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@nelima114: #foyoupage #trandingvideo #fypシ゚viral #fyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy #fypシ゚
@Neli-ma✨
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Region: KE
Thursday 19 December 2024 10:03:36 GMT
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Comments
@stano 254 :
acha niseme initike😂... walai nimekumark🫣
2024-12-19 10:14:49
0
denosonadada :
fantastic always smart and cute 💕💗💕💗👌
2024-12-19 11:07:18
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Levis :
walai
2024-12-19 13:08:19
0
yalniz 63 :
❤️wavhhh magnifique ❤️
2024-12-23 12:17:00
0
lynn mwash🥰 :
hae gal takam kesho unitegeneze nails 💅
2024-12-23 13:19:05
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KB :
🥰
2024-12-31 12:13:33
0
To see more videos from user @nelima114, please go to the Tikwm homepage.
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Reverse Engineer Anything (REA) Explained: The Software Industry Will Never Be the Same In this video, Cloud X Berry explains REA (Reverse Engineer Anything) in a simple and beginner-friendly way. You're using an application and there's a feature you really like. You want to understand how it works and build something similar in your own project. The problem is you don't have the source code. You can click around, watch what it does and test it, but the implementation stays hidden. Traditionally, working that out could take an experienced reverse engineer days or even weeks. REA is an open source project that hands that investigation to an AI coding agent, and it crossed 42,000 GitHub stars in under a week. We start with what REA actually is. It isn't a decompiler. It's a coordination layer between your AI coding agent and the specialized tools that do the real analysis: Ghidra, Hopper and IDA Pro for native binaries, plus workflows for JavaScript and Electron apps, .NET assemblies, Android apps, websites and firmware. Then we walk through the GitHub repository and the three stages REA is built around: decompile, understand and recreate. We look at how one common interface sits in front of many tools, how investigation context carries across tool calls, and what is in the catalog of 139 MCP tools. From there we set it up with npx rea-agents setup and follow a practical example: tracing how a Notes app's exporter formats titles, then rebuilding that formatter and checking it against 14 test cases. Then the part most videos skip. REA can't give you back the original source code, and we explain why. We cover prompt injection hidden in the software you're analyzing, why REA is not a sandbox, what gets sent to your model provider, when reverse engineering is legally allowed, and the practical limits you should plan around. We finish with the workflow worth keeping long after this tool: gather evidence, follow it, then build something new and test it. Chapters 0:00:35 Meet REA: Reverse Engineer Anything 0:02:34 Exploring the GitHub repository 0:03:55 Decompile, understand, recreate 0:05:37 One interface for many analysis tools 0:06:58 What REA can analyze 0:08:17 139 MCP tools and the agent's judgment 0:09:24 Setting up REA 0:12:20 Can REA recover the original source code? 0:13:38 Security: prompt injection and why REA is not a sandbox 0:15:16 Is reverse engineering legal? 0:16:33 Practical limitations 0:17:42 The takeaway: gather, follow, build WHO THIS IS FOR Developers who have looked at a feature in someone else's app and wondered how it really works, engineers using AI coding agents who want to point them at more than their own codebase, security learners curious about decompilers and binary analysis, and anyone who needs to understand an unfamiliar dependency, protocol or legacy system without its original documentation. #reverseengineering #aiagents #mcp #ghidra #cybersecurity #softwareengineering
#babyverseai #foryoupage #viral #fyp #funny
tui làm cả đt - ipad - mt #cortis #coer #ilovetiktok #viral #xh | id: j0hxnn2
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