Augmented Coding: Better with Principles
a year ago
- #AWS Transcribe
- #Automation
- #AI Assistance
- The author wanted to automate AWS Transcribe workflow but found the manual process tedious.
- Claude initially over-engineered a solution with 300 lines of code, including unnecessary features like JSON to SRT conversion.
- Several issues arose during implementation, such as special characters in job names and file size limitations.
- The key to successful automation was making each step recoverable to avoid redundant work.
- Claude quickly adapted to feedback, correcting mistakes and suggesting solutions like extracting audio to handle large files.
- Automation took longer initially but reduced future friction, encouraging more frequent use.
- The combination of the author's experience and AI assistance led to efficient script development.