AI workflows for software development

  1. Use AI to generate boilerplate code

  2. Use AI to explain legacy codebases faster

  3. Debug errors by pasting stack traces into AI

  4. Generate test cases automatically

  5. Turn rough ideas into API docs, schemas, and system designs

AI won’t replace good developers, but developers using AI are definitely moving faster.

What AI workflow are you using the most right now?

Right now, I see a lot of developers using AI mostly for debugging stack traces, generating boilerplate code, explaining legacy codebases, and quickly creating API docs or test cases. AI-assisted coding inside editors like VS Code has also become a very common workflow because it speeds up repetitive development tasks a lot.