How to open source contribution as a new beginner.

[jimjoice2804]

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Hi, I am in a phase where i select repo that is perfect for me, however problem arises when i pick issue from repo, then i go blank how to approach it.so my main question is how do i solve that issue, how to take help from AI and how to brake it down. because my main fear is the flow, what if i brake some critical flow that might brake the whole app, and how do i understand the flow like the issue, hight be connected with several folders/files. i hope i am clear with my problem.

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[baseely]

Hey @jimjoice2804 - I get that blank page panic 😅 Every contributor felt it.

Zero-Risk Start:

1. Filter: "good first issue" + "documentation"
2. Fix 1 README typo → Submit PR → Get "LGTM!"

Safe Workflow:
git clone → make test → git checkout -b fix-123 → Change → make test → Push → CI runs

Ask early:
"Hey team! New. auth.py:45 unclear. Help?"
"Explain auth.py:45-60 for issue #123"

Final Tip:
Never fix without running tests locally first. make test green = safe to push. Red = ask for help.

You've got this!

I hope all newcomers get the confidence and start contributing to our open source community!

[jimjoice2804]

@baseely, thank you for guiding me, it will help me a lot, especially running tests before starting again thanks 🙏

[krishkhinchi]

Hi @jimjoice2804,

Feeling blank when picking an issue is normal for beginners. Use this simple system:

1️⃣ Pick the right repo

Choose repos with:

• good first issue
• Clear README + CONTRIBUTING
• Small, active projects

2️⃣ Don’t code immediately

First:

• Read README
• Check project structure
• Find where the app starts (main, index, App)

3️⃣ Break the issue

Ask:

• What should happen?
• What is actually happening?
• Where is this logic handled?

4️⃣ Understand flow safely

• Use search (Ctrl+Shift+F)
• Trace only related files
• Work on a new branch (you won’t break anything)

5️⃣ Use AI smartly

Ask AI to:

• Explain a file or function
• Suggest small fixes
  Not “solve everything for me”.

6️⃣ Start small

Docs, comments, tests, or minor fixes build confidence.

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If this answer solve your all doubts so can you please mark my answer as solved
or if did not solved yet so please tell me your doubt

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[Ali-Tadayoni]

Here’s a simple way to approach it that usually works:

1. Don’t start from the whole repo — start from the issue

First, try to restate the issue in your own words. Then ask:

• Where do I actually see this problem in the app?
• Is it UI, API, state management, or something else?

If you can reproduce it locally, that already gives you a starting point.

---

2. Find the “starting point” in code

Instead of reading folders randomly, search for something specific:

• button text
• error message
• feature name
• API endpoint mentioned in the issue

This usually leads you to the first relevant file.

---

3. Trace only ONE flow at a time

Don’t try to understand the whole system.

Just follow one path:

• UI → event handler → state → API call → response

Or the reverse depending on where you start.

Most confusion comes from jumping between too many files too early.

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4. Break the issue into small steps

Instead of thinking “I need to fix this issue”, break it into:

• find where the bug happens
• understand why it happens
• test a small change
• fix one part only
• verify locally

Small steps reduce the fear of breaking things.

---

5. How to use AI properly

AI is most useful when you ask it to explain, not solve everything.

Good questions:

• “What does this file/function do?”
• “What is the data flow here?”
• “What could cause this behavior?”
• “Can you explain this code step by step?”

Try to stay in control of the thinking — AI should help you understand, not replace the process.

---

6. Don’t worry too much about breaking things

If you’re working on a feature branch and testing locally, you’re safe. Open source is actually very forgiving for beginners — maintainers usually expect small mistakes and iterations.

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7. Learn PR flow once, then reuse it

Once you understand the basic flow (branch → commit → push → PR), the rest becomes way easier.

This guide helps a lot:
https://makeapullrequest.com/

[harisansari13]

If you're just starting with open source, here's a simple roadmap:

1. Learn Git and GitHub basics.
2. Find beginner-friendly repositories.
3. Look for "good first issue" labels.
4. Read the project's contribution guidelines.
5. Fork the repository.
6. Create a new branch.
7. Make small changes.
8. Commit and push your changes.
9. Create a Pull Request.
10. Learn from maintainers' feedback and keep contributing.

Small contributions like fixing documentation or improving README files are a great way to start.

[pristley]

One more angle: understand the issue first, understand the code second.

Many beginners flip this. They dive into the codebase and then try to figure out what the issue is asking for. Backwards.

Better flow:

1. Read the issue 3 times (seriously)
2. What behavior should exist? What behavior currently exists?
3. Can you describe the difference in plain English?
4. Only then: where in the code would this behavior live?

For the "breaking critical flows" fear — start with issues labeled:

• "good first issue"
• "documentation"
• "chore"
• "refactor"

These are specifically low-risk. Then graduate to bug fixes and features.

Also, if you're scared of your changes, that means you care about quality. Maintainers want that. You're not going to accidentally wreck production from a PR on your fork. Breathe. 😊

[elizawonggu]

Starting with small documentation fixes and tracing one code path at a time really builds confidence, and AI is most helpful when it explains the logic instead of writing everything for you. That same step-by-step mindset is useful in other fields too, whether you're debugging code or evaluating digital nomad tax accountant services before making decisions.