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Git Advanced: Monorepo, Submodules & Workflows · Aula

Depuração com Git Bisect

Use `git bisect` para localizar com eficiência a confirmação exata que introduziu um erro, economizando um tempo valioso de depuração.

Depuração com Git Bisect é uma aula grátis de Git Advanced: Monorepo, Submodules & Workflows no CoddyKit. Esta é a aula 2 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Git Advanced: Monorepo, Submodules & Workflows, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Git Advanced: Monorepo, Submodules & Workflows inclui 4 aulas no total.

Partes desta aula ainda não foram traduzidas e aparecem em inglês.

What is Git Bisect?

Imagine a bug appears in your project, but you're not sure which recent change caused it. Manually checking each commit can be a huge time sink!

git bisect is a powerful Git command that uses a binary search algorithm to quickly find the exact commit that introduced a bug.

The Binary Search Advantage

How does git bisect work so fast? It's like a game of 'hot or cold' with your commit history.

  • You tell Git a commit you know is bad (has the bug).
  • You tell Git a commit you know is good (before the bug existed).
  • Git picks a commit roughly in the middle and asks you to test it.
  • Based on your feedback, it halves the search space, repeating until the culprit is found.

Starting Your Bisect Hunt

To begin, first you need to tell Git you're starting a bisect session. Then, you mark the known 'bad' (buggy) commit and a known 'good' (working) commit.

You can use commit hashes, branch names, or tags.

git bisect start
git bisect bad HEAD
git bisect good <known_good_commit_hash>

The Iterative Process: Test & Mark

After you define your good and bad commits, Git will automatically check out a commit in the middle of that range. Your job is to test the code at this commit.

  • If the bug is present, mark it as bad.
  • If the bug is NOT present, mark it as good.

Git will then move to the next commit, halving the remaining search space.

Marking a Commit

Once you've tested the currently checked-out commit, use these commands to tell Git whether it's good or bad:

  • To mark the current commit as bad: git bisect bad
  • To mark the current commit as good: git bisect good

Git will then automatically check out the next commit to test.

git bisect bad
# OR
git bisect good

Narrowing Down the Problem

You'll repeat the 'test and mark' process. With each step, git bisect gets closer to the single commit that introduced the bug. It's much faster than checking commits one by one!

For a range of 100 commits, it takes at most 7 tests (log2(100) ≈ 6.64).

Found the Culprit!

Eventually, git bisect will narrow the range down to a single commit. It will then report the first 'bad' commit found, which is your bug introducer!

After finding the bug, it's crucial to exit the bisect session to return your repository to its original state (usually the branch you were on when you started).

git bisect reset

Handling Untestable Commits

Sometimes, git bisect might land on a commit that can't be tested (e.g., it doesn't compile, or dependencies are broken). In such cases, you can tell Git to skip it:

git bisect skip

Git will then pick another commit to test, making sure to exclude the skipped one from the potential range of the bug.

git bisect skip

Automating with Git Bisect Run

For even faster debugging, you can automate the testing process using git bisect run. This command takes a script that performs the test and exits with specific codes:

  • 0: The commit is good.
  • 1-127 (except 125): The commit is bad.
  • 125: The commit should be skipped (e.g., cannot build).

Git will then run the script automatically for each commit until the bug is found.

#!/bin/bash

# Example test script for git bisect run
# Replace 'make test' with your actual test command

if make test;
then
  exit 0 # Tests passed, commit is good
else
  exit 1 # Tests failed, commit is bad
fi

Bisect Workflow Check

Which of the following commands are essential when performing a manual git bisect to find a bug?

Debugging Power-Up!

You've mastered git bisect! This powerful tool transforms bug hunting from a tedious chore into an efficient, systematic process using binary search.

  • Start with git bisect start, defining good and bad commits.
  • Test and mark commits as good or bad.
  • Use git bisect skip for untestable commits.
  • Automate with git bisect run for fast, hands-free debugging.
  • Always finish with git bisect reset.

Happy bug hunting!

Perguntas Frequentes

A aula “Depuração com Git Bisect” é grátis?

Sim — o texto completo de “Depuração com Git Bisect” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de Git Advanced: Monorepo, Submodules & Workflows, atualize para CoddyKit PRO. O curso de Git Advanced: Monorepo, Submodules & Workflows inclui 4 aulas no total.

O que vou aprender em “Depuração com Git Bisect”?

Use `git bisect` para localizar com eficiência a confirmação exata que introduziu um erro, economizando um tempo valioso de depuração. Você pratica Git Advanced: Monorepo, Submodules & Workflows com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.

Preciso ter experiência prévia para começar Git Advanced: Monorepo, Submodules & Workflows?

Nenhuma experiência prévia é necessária. Git Advanced: Monorepo, Submodules & Workflows no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 2 de 4.

Quanto tempo leva a aula “Depuração com Git Bisect”?

A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.

Posso escrever e executar código nesta aula de Git Advanced: Monorepo, Submodules & Workflows?

Sim. Cada aula de Git Advanced: Monorepo, Submodules & Workflows inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.

Todas as aulas deste curso

  1. Recuperando confirmações e ramificações perdidas
  2. Depuração com Git Bisect
  3. Otimizando o desempenho de repositórios Git
  4. Resgatando trabalho com o Reflog e o Stash
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