We've all spent time -fixing someone's bright idea of a -fix. I'm sceptical of the time saving of applying a -fix before I understand the problem(s).
Outsourcing comprehension to a machine is probably gonna cost you more time in the long run.
Outsourcing comprehension to a machine is probably gonna cost you more time in the long run.
- Defining the issue/ticket, what "success" looks like (if I have a good idea of this), high level approach guidance 50%
- Dispatch agent to work on it 5%
- Occasionally return and nudge agent + send /simplify or /code-review 5%
- Look at the code/session summary, divergences from the plan, ask followup questions 40%
Occasionally yes there is some solution the AI chose that is suboptimal and I would prefer fixed in a different way. Mostly though it's straightforward.