Ways to contribute
September 23, 2026 · View on GitHub
There are many different ways in which you can contribute. One of the easiest ways is simply to use our software and provide us with your feedback through the right channel. You can also help us improve the open-source projects by submitting pull requests with code and documentation changes.
Where to get support
Please note that level of provided support is always determined by the LICENSE of a given open-source project. Also, make sure you are on the latest release of the product concerned — the five are versioned independently. Fixes land on the current major; an older major is patched only while a maintenance line is open for it. We don't want to make things complicated so we try to take the same approach in all our repositories.
I found a bug in a Kontent.ai open-source project
Sorry to hear that. Just log a new GitHub issue and someone will take a look at it. Remember, the more information you provide, the easier it will be to fix the issue. If you feel like it, you can also fix the bug on your own and submit a new pull request.
I need help with using the projects and/or coding
To get help with coding and structuring your projects, use StackOverflow and tag your questions with kontent-ai tag. You can also email devrel@kontent.ai.
Our team members and the community monitor these channels on a regular basis.
I want to report a security bug
Security issues and bugs should be reported privately, via email, to Kontent.ai Security Team security@kontent.ai. For more details, check the Security policy.
I have an idea for a new feature (or feedback on existing functionality)
Everybody loves new features! You can submit a new feature request or you can code it on your own and send us a pull request. In either case, don't forget to mention what's the use case and what's the expected output.
Working in this repository
This repository holds five independently versioned products. Each ships its own packages on
its own schedule, so a product consumes its siblings the way an external consumer does —
through PackageReference, at the version declared in
Directory.Packages.props.
Branches
main tracks released packages, vnext is for the next major, and maintenance/** carries
hotfixes for earlier lines. Documentation follows the code on each branch.
Building and testing
Use the .NET SDK pinned in global.json. Run dotnet build and dotnet test
from the repository root to build and test everything, or from src/<product>/ to work on one
product. Each product has its own solution file.
Test coverage is opt-in locally:
dotnet test /p:CollectCoverage=true /p:CoverletOutputFormat=opencover
CI collects coverage and enforces each product's coverage threshold.
The CodeSamples folders in the test projects are the source of the .NET samples on Kontent.ai Learn.
Read CODE_SAMPLES before changing one, and sync the change to Learn once it is merged.
Two build modes
dotnet build # default: siblings come from nuget.org
dotnet build -p:UseProjectReferences=true # siblings come from this working tree
The default is the mode everything ships from. It compiles each product against the exact
versions its published package declares as its minimum, so an unqualified dotnet build or
dotnet pack produces the dependency relationship we intend to ship. Packing in source mode
is refused outright, because the generated .nuspec would take sibling versions from
eng/Versions.props rather than from the declared floors.
Source mode answers the other question — do the five products at this commit work together? CI runs both legs and both block the merge, so you do not need to remember the flag to be safe. Reach for it when you change a public API another product consumes and want to see the effect before pushing.
Within a single product every reference is already a ProjectReference. Only cross-product
edges are affected by the flag, and there are two: Kontent.Ai.AspNetCore → Delivery, and
Kontent.Ai.ModelGenerator → Delivery and Management.
Changing an API that another product consumes
An additive change needs nothing special. Both legs stay green: the consumer still compiles against the old published version and against your new source.
A removal or rename cannot have both legs green in one PR — the consumer cannot simultaneously compile against a published version that still has the old API and a source tree that no longer does. Deprecate first, remove a cycle later:
- Add the replacement. Keep the old member with
[Obsolete], bump the dependency product. Both legs green. Release it (Actions → Prepare release, then Publish). - Move the consumer. Raise its floor in
Directory.Packages.propsto the version you just published, switch to the new API, bump the consumer. Both legs green. Release it. - Remove the obsolete member in a later cycle. Both legs green.
Step 2 has to wait for step 1 to actually reach NuGet: a floor pointing at an unreleased version makes the whole repo unrestorable, including the release that would have published it. That is why it is a separate PR rather than part of the same release batch.
Raise a floor only when the consuming code genuinely needs the newer API. Floors are meant to lag — raising one forces every downstream consumer to upgrade too.
Versions are not yours to bump
Do not edit eng/Versions.props in a feature pull request. Versions are bumped by the
Prepare release workflow, which promotes each product's ## Unreleased changelog section at
the same time and opens one pull request for the batch. Your job is the changelog entry; the
release decides which version it lands under. The release guide
describes the full flow.
CI enforces this: the Release guardrails job fails a pull request that touches
eng/Versions.props from any branch other than the release/* one Prepare release creates.
Submitting pull requests
Unless you're fixing a typo, it's usually a good idea to discuss the feature before you submit a pull request with code changes, so start by submitting a GitHub issue and discussing whether it fits the vision of the product. Say which product it concerns — this repository holds five. You might also read these two blogs posts on contributing code: Open Source Contribution Etiquette by Miguel de Icaza and Don't "Push" Your Pull Requests by Ilya Grigorik. Note that all code submissions will be rigorously reviewed and tested by Kontent.ai maintainer teams, and only those that meet an high bar for both quality and design/roadmap appropriateness will be merged into the source.
Example - process of contribution
If not stated otherwise, we use feature branch workflow.
To start with coding, fork this repository, create a branch named <type>/<short-description> (or TICKET-ID/<short-description> when the work tracks a ticket), and start coding. Once the functionality is done, you can submit a pull request.
Definition of Done
- New/fixed code is covered with tests
- CI can build the code — both reference modes, on Ubuntu and Windows
- All tests pass
- Every user-visible change has an entry in that product's
CHANGELOG.md, under## Unreleased - A breaking change is also written up in the upgrade guide for the major in progress (
src/<product>/docs/upgrade/<from>-to-<to>.md) - A public API change is reflected in the product's approval snapshot — review the
.received.txtdiff line by line before accepting it - Documentation is updated (the product's README, and any guide under
src/<product>/docs/) - Coding style (spaces, indentation) is in line with the rest of the code
- All
publicmembers are documented with XML doc - Code doesn't contain any secrets (private keys, etc.)
- Commit messages are clear. Please read these articles: Writing good commit messages, A Note About Git Commit Messages, On commit messages
Feedback
Your pull request will now go through extensive checks by the subject matter experts on our team. Please be patient. Update your pull request according to feedback until it is approved by one of Kontent.ai maintainers. After that, one of our team members may adjust the branch you merge into based on the expected release schedule.
Code of Conduct
The Kontent.ai team is committed to fostering a welcoming community, therefore this project has adopted the Contributor Covenant Code of Conduct. If you have any additional questions or comments, you can contact us directly at devrel@kontent.ai.