Git bayesect – Bayesian Git bisection for non-deterministic bugs

In plain words

Git bayesect is a tool that applies Bayesian statistical methods to Git's bisection process, helping developers find non-deterministic bugs that don't occur consistently. Rather than traditional binary search bisection, it uses probability-based analysis to identify the commit most likely responsible for intermittent issues. This is useful for developers working with flaky tests or bugs that only appear under certain conditions.

written from the facts on this page · September 2026

From the sources

Use this to detect changes in likelihoods of events, for instance, to isolate a commit where a slightly flaky test became very flaky. uv tool install git_bayesect How it works git_bayesect uses Bayesian inference to identify the commit introducing a change, with commit selection performed via greedy minimisation of expected entropy, and using a Beta-Bernoulli conjugacy trick while calculating posterior probabilities to make handling unknown failure rates tractable. See https://hauntsaninja.github.io/git_bayesect.html for a write up. git bayesect priors_from_text --text-callback "return 10 if 'timeout' in text.lower() else 1" Get a log of commands to let you reconstruct the state: # Create a…from github.com

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