So, I Vibe Coded A Way Out, Again.
A while ago I wrote an article asking When Is 100% Vibe Coding OK? . My conclusion was that it works when the human already owns the invariants. If you know the problem is solvable, understand the constraints, and have a reliable way to verify the output, AI can be a fantastic accelerator. Apparently I decided to test that theory again. This time with my banking app. If you are savvy enough in…
The author wrote an article discussing when it's appropriate to use 100% vibe coding. They concluded that it works when the person using it understands the problem, constraints, and can verify the output. They tested this theory again with a banking app, specifically creating QR codes for SEPA credit transfers. The author lives in Germany and wants to eliminate paper invoices, so they decided to automate the payment process using QR codes.
The EPC QR code standard for SEPA credit transfers, known as GiroCode, was used to encode structured text containing recipient, IBAN, amount, and reference fields. The author utilized qrencode, a library for generating QR codes, to create the necessary payload. They then developed a simple Go application using Codex, a code generation tool, to streamline the process.
The application created a self-contained HTML document with the payment details and QR code embedded as Base64 text. The final step was to test the application with a real payment, which was successful. The author then added search and note functionality to the database, allowing them to reuse previous payment details for new transactions.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
