Find a Bug with Git Bisect is a hands-on project for Git learners who can already make commits and read simple history. Find when a small shop's discount quotes became wrong, then repair the current shop without losing later products, wording or pickup updates. Your result is a focused corrective commit and a complete customer quote file.
One Guided Lab teaches the business test, a short manual search, automated bisection and a current-branch repair. One independently initialized Challenge changes the coupon, order and fault position while using the same taught mechanisms. The total 90 minutes is an author estimate.
What You Will Learn
After completing this course, you will be able to:
- distinguish a program that runs from a quote that follows the actual offer policy;
- establish good and bad Git revisions using a prepared deterministic test and native exit statuses;
- classify a few historical versions manually, then automate the same search with
git bisect run; - distinguish
bisect/badfrom the current HEAD and compare the first bad snapshot with its direct parent; - leave the search, commit a focused correction on main, preserve later work and deliver a complete correct quote.
Who This Course Is For
This course is for beginning developers and Git learners who want a practical way to trace a regression through history.
Prerequisites: Basic terminal navigation, commits, branches and simple log/diff reading. The earlier Git team-merge project is useful preparation. Bisect, detached search checkouts, test results and the small offer-file edit are explained in the course.
Learning environment: A prepared browser-based Linux Terminal includes Git, Python, the actual quote program, fictional customer orders and the external test. You run the supplied program without writing Python. No website, hosted account or local installation is required. Program text, file contents and command output remain English.
Frequently Asked Questions
Do I need to write a test or program?
No. The quote program and deterministic business test are prepared. You read the original offer policy, interpret test results and repair one small percentage setting.
Does finding the first bad commit fix the current shop?
No. You verify the candidate and its parent, leave the historical search and add a focused corrective commit on the current main branch. Later useful changes stay intact.
What changes in the Challenge?
A different coupon and customer order fail at a different point in an independently prepared history. The test format and core tools are the same; no new programming, build failure or skipped-version mechanism is required.
Is this a hosted shop deployment?
No. You work with a real local Git repository and a file-based quote tool on one training machine. The complete quote file is a real usable result; the course does not simulate a hosted payment or production deployment.
