💻 AI as a Force Multiplier in CI Debugging
Software engineer Kinjo analyzed a case of a CI false positive, where a "crash" error turned out to be a signal from tmux 3.4 upon exit. With the help of an AI assistant, the hypothesis testing cycle was significantly accelerated: while the human formulated guesses, the AI quickly prepared experimental environments and modified tests.
🌍 An example of effective AI use as a "force multiplier" for engineers, where the model does not replace intuition but takes over the mechanical work of testing hypotheses.
👤 A demonstration of how AI tools reduce time spent on routine diagnostics (environment preparation, dependency bisection), allowing the developer to focus on finding the root cause of the failure.