I once spent three hours on a Tuesday morning trying to figure out why a simple pull request was stalling, only to realize the project’s documentation was essentially a collection of “good luck” wishes and broken links. Most people think they know how to write a contributing guide, but they usually just end up producing a bloated, 40-page manifesto that nobody actually reads. They focus on high-level philosophy and “community alignment” instead of the only thing that actually matters: telling a stranger exactly how to run the tests without their local environment exploding.
I’m not here to sell you on some theoretical framework for open-source governance. Instead, I want to show you how to build a practical, living document that survives contact with reality. I’ll share what I’ve learned from years of cleaning up messy PRs and dealing with the fallout of poor documentation, focusing on the trade-offs between being thorough and being concise. My goal is to help you write a guide that serves as a functional specification for your contributors, ensuring they can get work done without needing to ping you on Slack every ten minutes.
Table of Contents
Setting Project Contribution Standards That Actually Work
When I was at the insurance firm, we had hundreds of pages of documentation that nobody read. It was a graveyard of “best practices” that didn’t account for how people actually work. If you want your project contribution standards to actually stick, you have to stop treating them like a legal contract and start treating them like a map. People don’t want to read a manifesto; they want to know exactly which branch to pull from and what the linting rules are before they waste an hour on a feature that will just get rejected by the CI.
The biggest mistake I see is a broken developer onboarding process where the “how-to” is buried in a README that hasn’t been updated since 2021. I’ve learned that you need to define the “happy path” very clearly. This means having explicit pull request guidelines that tell a contributor: “If you do X, Y, and Z, your code will likely pass.” Don’t just tell them to “write good tests”—tell them which testing library you use and how much coverage you actually expect. It’s about reducing the cognitive load required to be helpful, rather than testing whether they can guess your unspoken preferences.
Defining a Clear Open Source Contribution Workflow
A workflow shouldn’t be a labyrinth of “if/then” statements that leaves a contributor feeling like they’re navigating a minefield. If your open source contribution workflow is too opaque, people will simply give up and find a project that doesn’t make them feel stupid. I’ve seen too many repos where you have to ping three different maintainers on Discord just to find out which branch to target. Instead, map out the path from “I found a bug” to “the code is merged” in plain English. Tell them exactly where to fork, how to run the local test suite, and—most importantly—how to submit their work.
The goal here is a frictionless developer onboarding process. You want to move them from curiosity to a successful pull request as quickly as possible. This means having explicit pull request guidelines that cover the boring but essential stuff: commit message formats, linting requirements, and how to write a description that actually explains why a change was made. If you leave these details to chance, you’ll spend your entire weekend cleaning up messy diffs and chasing down people who forgot to run the tests. Automate the gatekeeping where you can, but keep the human instructions simple and predictable.
Five things that actually matter when someone opens your repo
- Write for the tired person. Assume whoever is reading your guide is either caffeinated to the point of jitteriness or, more likely, trying to figure this out at 11 PM after a long day. If they have to hunt through three different files to find the linting rules, you’ve already lost them. Keep the “how-to” steps linear and obvious.
- Document the “why,” not just the “how.” Telling someone to run `make test` is easy. Telling them why we use a specific mock for the payment gateway—and what happens if they bypass it—is what prevents a production incident six months from now. I’ve learned the hard way that people will follow instructions, but they won’t follow logic they don’t understand.
- Show, don’t just tell, the commit format. I write my commit messages before I write the code because it forces me to be certain about what I’m actually changing. Your guide should have a concrete example of a “good” commit versus a “bad” one. If your history looks like a series of “fix stuff” messages, your guide has failed.
- Be honest about the trade-offs. If your contribution process is slow because you require manual review for every single change to the database schema, say that. Don’t pretend it’s a “high-velocity workflow.” If people know they’re entering a high-friction zone, they’ll approach it with the right level of caution.
- Include a “Common Failure Modes” section. This is my personal favorite. Instead of just listing the setup steps, list the three things that usually go wrong during setup—like a missing environment variable or a specific version of Node that everyone forgets to mention. It turns your guide from a manual into a survival kit.
The TL;DR for Not Losing Your Mind
Treat your guide as a debugging manual, not a manifesto; if a contributor can’t figure out how to run the tests or lint the code within five minutes, your documentation has failed.
Explicitly document the “why” behind your weirdest constraints, because explaining the same architectural trade-off to a third stranger is a waste of everyone’s time.
Automate the enforcement of your standards so you can stop being the human linter and go back to actually building things.
The Goal Isn't Perfection, It's Sanity
At the end of the day, a contributing guide isn’t a piece of formal literature; it’s a survival manual for your project. You don’t need to document every single edge case or write a manifesto on why your choice of linter is superior. You just need to define the workflow, set the standards for what a “good” PR looks like, and make sure the onboarding friction is low enough that people don’t give up before their first commit. If you’ve clearly defined how to run the tests and how to structure a fix, you’ve already done more than 90% of the projects out there. Remember, the best guide is the one that stops the same questions from being asked every single week.
I’ve spent too many hours debugging issues that could have been avoided if a single line of documentation had been clearer. Writing this guide might feel like a chore right now, but think of it as an investment in your future sleep schedule. You aren’t just writing for the contributors; you are writing for the future version of yourself who will inevitably forget how this specific piece of the infrastructure works. Build something that is easy to join and even easier to maintain. If you do that, you’ll spend less time firefighting and more time actually building things that matter.
Frequently Asked Questions
How do I balance being strict enough to keep the codebase clean without scaring off potential contributors with a wall of bureaucracy?
The trick is to automate the boring stuff so you don’t have to be the bad guy. If you’re manually nitpicking indentation or missing semicolons in a PR, you’re just being a bottleneck. Use linters and pre-commit hooks to handle the “cleanliness” part. That way, your human review can focus on the actual logic and architecture. I’d rather spend my energy discussing a flawed concurrency model than arguing about trailing commas.
At what point does a guide become "too much"—should I be documenting every single linting rule, or just the stuff that actually breaks the build?
If you start documenting every single linting rule, you aren’t writing a guide; you’re writing a manual for a tool that already exists. Your contributors can read the linter’s output. Focus on the “why” behind the stuff that actually breaks the build or causes architectural drift. Document the decisions that aren’t obvious from the code alone. If a rule exists to prevent a specific, painful production incident I’ve lived through, write it down. Otherwise, let the CI do its job.
How do I keep the guide from becoming a dead document that's out of date the moment I refactor the CI pipeline?
The trick is to stop treating the guide like a manual and start treating it like code. If your documentation lives in a separate wiki, it’s already dead. Keep it in the repo. Better yet, tie it to the automation. If you change a CI step, the PR isn’t finished until the `.github/CONTRIBUTING.md` reflects that change. I’ve learned the hard way: if the docs and the pipeline disagree, the docs are lying.
If I'm running a small team, is it even worth writing a formal guide, or should I just stick to a README and a few good examples?
If you’re a team of two, a README is fine. But the moment you hire a third person or a contractor, the “just ask me” model becomes a bottleneck. You’ll spend more time repeating yourself in Slack than it would have taken to write the guide. I treat documentation like a buffer; it’s there so people can solve their own problems without pinging me while I’m trying to finish a ride.
