🗓️ This Week
- I had a long holiday during Golden Week in Japan and really enjoyed the break!
- Because of that, I didn't have as much learning time compared to last week 😂
- I made a little more progress in the SwiftUI tutorial
- It was my first time using GitHub Copilot in Xcode, and I tried using the chat feature to generate unit tests. I'd also like to gradually explore more advanced features such as custom instructions.
I also want to thank everyone who commented on my previous Weekly Dev Log 2026-W03✨
Since English is not my native language, I was honestly a bit nervous about posting in English at first. But interacting with people on this platform has been a really valuable learning experience for me.
The kind comments and discussions gave me more confidence to continue sharing my learning journey here. Thank you so much😊
📱 iOS (SwiftUI)
- Worked through the Swift tutorial and completed Section 5: "Create an Algorithm for Badges"
- Used GitHub Copilot in Xcode to generate unit tests for badge sorting logic.
🌐 Web Development
- Posted my weekly dev log on Dev.to 📝
🔐 Security (TryHackMe)
- Worked on the AI Forensics room (part of the AI Security Learning Path) on TryHackMe
💡 Key Takeaways
- Reviewed the basics of building SwiftUI views using
NavigationStack,ScrollView, andHStack - Learned how to integrate AI-assisted code generation into the testing workflow.
TryHackMe Learning
AI Forensics
- Learned how AI/ML enhances DFIR through large-scale data processing, anomaly detection, and scalable analysis
- Explored practical AI use cases in DFIR tools, including phishing detection, malware classification, alert prioritisation, and event correlation
- Learned the difference between deterministic systems and probabilistic AI models, and why non-determinism can become a challenge in digital forensics
- Studied key AI evaluation metrics such as accuracy, precision, and recall, and learned why these metrics can be misleading when viewed in isolation
- Understood the “Garbage In, Garbage Out (GIGO)” principle and how low-quality training data can lead to unreliable AI outputs
- Learned that AI can accelerate DFIR workflows, but human oversight and validation are still essential in forensic investigations
🚀 Next Week
- Continue working on the badge algorithm (Section 6) in the SwiftUI tutorial
- Continue posting small articles on Dev.to
- Continue working on the AI Security Learning Path
🌈 Goals for This Year
📱 iOS (SwiftUI)
- Build a solid foundation in SwiftUI and create at least one iOS app
🌐 Web Development
- Continue posting learning logs on Dev.to and eventually turn them into a portfolio site using React Router v7
🔐 Security (TryHackMe)
- Keep learning cybersecurity on TryHackMe