Really resonates with this. I went down a similar rabbit hole — built 80+ automation scripts in a week, then realized the real win wasn't the scripts themselves, but having an AI agent that could compose them together.
The quality angle is interesting. What metrics do you use to measure if the automation actually improved code quality vs just speed?
No formal metrics yet. I recall seeing a multi-agent coding framework in GitHub that improved pass rates from around 80% to over 90% on standard benchmarks by adding specialized review and testing agents. But those are algorithmic benchmarks — not real-world development tasks. I’d like to build a test suite based on actual project work and measure the difference properly. Great question — thanks for pushing me to think about this.
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Really resonates with this. I went down a similar rabbit hole — built 80+ automation scripts in a week, then realized the real win wasn't the scripts themselves, but having an AI agent that could compose them together.
The quality angle is interesting. What metrics do you use to measure if the automation actually improved code quality vs just speed?
No formal metrics yet. I recall seeing a multi-agent coding framework in GitHub that improved pass rates from around 80% to over 90% on standard benchmarks by adding specialized review and testing agents. But those are algorithmic benchmarks — not real-world development tasks. I’d like to build a test suite based on actual project work and measure the difference properly. Great question — thanks for pushing me to think about this.