Finding good first issues: practical tips and trade-offs

Finding good first issues: practical tips and trade-offs

Contributing to open source can feel overwhelming when you're staring at thousands of repositories and don't know where to begin. The good news: with a clear strategy and realistic expectations, you can identify projects worth your time and start making meaningful contributions within weeks. Finding good first issues is less about luck and more about knowing where to look and what questions to ask before you invest your effort.

Understanding good first issue and help wanted labels

Most mature open source projects use standardized labels to signal which issues are suitable for newcomers. The two most important are good first issue and help wanted. Understanding the distinction between them will save you time and frustration.

good first issue typically means the maintainers have explicitly vetted an issue as appropriate for someone new to the codebase. These are usually smaller in scope, well-documented, and the expected solution path is relatively clear. When you see this label, it's a signal that the maintainers are actively welcoming new contributors and have thought about the onboarding experience.

help wanted is broader. It means the maintainers need assistance but haven't necessarily tailored the issue for newcomers. You might need more domain knowledge or familiarity with the codebase to tackle these effectively. That doesn't mean you should avoid them—just go in with eyes open about the likely complexity.

Here's a practical workflow for evaluating a good first issue:

1. Read the issue description carefully. Does it explain the problem, the expected behavior, and the current behavior?
2. Check if there are code examples or links to relevant files in the repository.
3. Look at the comments. Are maintainers responsive? Do they ask clarifying questions?
4. Scan the pull requests linked to similar issues. How long did previous fixes take?
5. If the issue is older than three months without activity, ask in a comment if it's still relevant before starting work.

One realistic concern: not all issues labeled good first issue are created equal. Some projects haven't updated their labels in years. Others use them inconsistently. This is where reading the issue context matters more than the label itself.

Projects you already use

Your most productive contributions often come from fixing problems in tools you use daily. You have context, you encounter bugs naturally, and your motivation is genuine rather than abstract.

Think through your development stack. If you're a Next.js developer, contributing to Next.js or its ecosystem (Vercel's packages, popular middleware, auth libraries) means you'll understand the design patterns and pain points. If you work with PostgreSQL, the PostgreSQL project itself or ecosystem tools like pgAdmin or dbt-postgres are natural fits.

Start with a practical audit:

• List the five to ten packages or frameworks you use most in your job
• Visit each GitHub repository
• Filter issues by good first issue label
• Check the last update date on the top few issues
• Skim the maintainers' recent commits and PR merges. Are they actively maintaining the project?

Active projects are crucial. Contributing to abandoned projects teaches you almost nothing about professional development practices. You'll get stale feedback if any, and your PRs may never merge.

Real example: if you use Redis daily in a production application, finding a bug in the Redis Node.js client library and submitting a fix demonstrates two things to future employers or collaborators: you understand Redis deeply enough to diagnose issues, and you can navigate an established project's contribution workflow. That's far more valuable than submitting a spelling fix to a documentation site.

Documentation fixes are valuable

Many developers treat documentation contributions as second-class work. They're not. Documentation is often more visible to new users than the code itself, and it directly affects whether people adopt your project.

Documentation improvements include:

• Clarifying ambiguous examples
• Adding missing setup instructions for specific operating systems or Node versions
• Explaining the why behind architectural decisions, not just the what
• Adding troubleshooting sections for common errors
• Converting vague descriptions into step-by-step walkthroughs
• Translating documentation into additional languages

Why prioritize documentation? First, you'll rarely need deep familiarity with the codebase to make meaningful improvements. Second, maintainers often review documentation PRs faster because the review bar is more subjective—you can engage in good-faith discussion about clarity without getting into algorithmic correctness debates. Third, documentation contributions demonstrate communication skills, which matters more than many developers realize.

Concrete scenario: you follow the setup instructions for a popular testing framework and realize they skip three steps on macOS. You'll need to install a compiler toolkit, set an environment variable, and configure your shell. You document all three with links to official resources and a quick troubleshooting section. That PR improves the experience for hundreds of future macOS users. The maintainers will likely merge it quickly, and you've proven you can identify problems from a user perspective and communicate solutions clearly.

Start here: find a project's GitHub Issues, filter by documentation label, and look for open issues that describe confusion or gaps. If you've recently struggled with a setup process, you're the perfect person to improve the docs for that project.

Ask before starting large work

This is the most important rule we break repeatedly. Jumping straight into implementation without confirming alignment with maintainers wastes your time and theirs.

When you're considering a contribution that touches multiple files, changes behavior (not just fixes a bug), or requires design decisions, open an issue or comment on an existing one first. Describe your proposed approach in a few paragraphs. Ask: "Would a PR implementing X be welcome?" Wait for feedback before writing code.

Why this matters: maintainers might already have plans you don't know about. They might prefer a different architectural approach. The feature you're excited about might conflict with the project's priorities. None of these are personal rejections. They're just information you need before investing hours.

Here's a template for asking:

Hi [maintainers], I'd like to tackle [issue #123]. My approach would be to [brief description]: 1) [step one], 2) [step two], 3) [step three]. Does this align with your vision for the project? Are there any constraints or existing discussions I should be aware of?

Wait for a response that's roughly positive before creating a draft PR. If a maintainer hasn't responded in two weeks, you can either ping them again or choose a different issue. Maintainers are humans with competing demands. A non-response isn't necessarily a rejection—it might just mean they're busy.

For documentation fixes or clear bug fixes with obvious solutions, this rule is lighter. You can often jump straight to a PR and revise based on feedback. But for architectural changes, performance optimizations, or new features, always align first.

Common mistakes

Choosing projects by star count alone. Popular repositories often have high barriers to entry. A 50-star library maintained by two people might be more welcoming and easier to navigate than a 50,000-star framework with heavyweight governance. Check commit frequency, PR merge time, and responsiveness to issues instead.

Assuming silence means approval. If a maintainer hasn't responded to your proposed approach, assume they're busy, not that they agree. Ping them once. If they still don't respond, it's reasonable to move on to a different issue.

Fixing issues without understanding the context. You spot a typo or a small bug, create a PR immediately, and get feedback that your fix breaks an existing feature or conflicts with upcoming changes. Always read related PRs and issues, not just the one you're fixing.

Overcommitting to complex issues as your first contribution to a project. Your first contribution should be small enough to complete in a few hours, not days. Build trust and learn the review process before tackling larger problems.

Ignoring the contribution guidelines. Every serious project has a CONTRIBUTING.md file. Read it. It contains setup instructions, code style rules, and testing requirements specific to that project. Skipping this step guarantees revision cycles and frustration.

Key takeaways

• Filter by good first issue and help wanted labels, but verify that the project is actively maintained by checking recent commits and PR merge frequency.
• Start with projects you use daily in production. You'll have built-in context and genuine motivation.
• Documentation contributions are genuinely valuable and often reviewed faster than code changes. Use them as a lower-friction entry point.
• Always ask before starting work on large features or architectural changes. A 30-second comment saves hours of wasted work.
• Your first contribution to a new project should be small and straightforward. Use it to understand the review process and build credibility with maintainers.
• Check that the issue or PR queue is active. Stale projects teach you little about professional development workflow.