Finalized core features in Expense Tracker App: recurring expenses auto-processing, UI management, notifications, email alerts, dark/light theme toggle & custom expense categories. Next steps: fine-tuning, thorough testing & deployment.

Completed a series of 10 challenges using the Bitcoin RPC interface, mastering commands & JSON parsing with jq, and gaining insights into blockchain analysis techniques.

Built an expense tracker with Go, mastering debugging & database connections. Created a dynamic habit tracker app in 18 hours with GitHub Copilot. Handled LeetCode array-based problems, boosting my coding skills!

Built Habit Tracker web app with GitHub Copilot: track daily habits, receive reminders, dark mode toggle & more. Used Copilot for coding assistance, natural language prompts, autocomplete & chat features.

Thriving in open source and coding challenges helped me balance university with self-taught programming. Focus, consistency, and mentoring others were key. Pursuing software engineering career with .

Made significant progress on my app this week: integrated encryption, implemented dark mode, improved UI design & deployed on open-source platform. Next week, thorough testing & final deployment

Wrapped up week 6 with progress on app dev milestones, community engagement & new learning adventures in Golang. Deployed app to GitHub & Vercel, worked on README & email notifications, explored Golang concepts like compiler errors & guard clauses.

Implementing encryption for document uploads with Node.js's crypto module added a crucial layer of security. Integrated MongoDB for efficient data management & AWS S3 via MinIO for secure cloud storage.

Overcame backend dev challenges with Postgres & API integration. Learned Docker for simulating AWS env & explored new tools for API testing. Made significant progress in Hackathon & personal projects.

Install Goose AI on Windows in VS Code: Install Python, pipx via Scoop or pip, add PATH variables & run `pipx install goose-ai