autodev

Automate single-file performance optimization by providing a target file, a benchmark command, a metric extraction command, and an optimization direction to run an iterative refinement loop. The system generates hypotheses, measures improvements, and commits changes automatically.

Iterative code benchmarking is a process of generating optimization hypotheses, running measurable benchmarks, comparing results, and committing improvements to a target file. It improves throughput by validating each code change against a defined metric before keeping it.

Yes, you need a custom benchmark command and a metric extraction command to optimize a hot path. These inputs define the measurable objective and allow the automated loop to evaluate whether each iterative code change improves performance in your specified direction.

Yes, you can set an optional budget and iteration limits for the automated performance optimization loop. These constraints control how many experimental cycles the process runs when refining your single target file overnight.

The best way to optimize a single target file without breaking correctness is using an iterative benchmark loop. It measures performance improvements against a defined metric and only commits changes that successfully improve the target while preserving the expected behavior.

You should not use an automated iterative optimization loop for multi-file refactoring or when you lack a defined benchmark and metric extraction command. The process is strictly designed for single-file targets with measurable performance objectives.