How Open Source Software Works

Updated June 2026
Open source software is built through a collaborative development model where source code is publicly hosted, anyone can propose changes, and volunteer or paid maintainers review and integrate contributions. This transparent process, supported by version control systems, code review workflows, and community governance, enables thousands of developers across the world to build software together.

The Source Code Repository

Every open source project begins with a source code repository, a central location where the project's code, documentation, and configuration files are stored and tracked. The vast majority of open source projects use Git, a distributed version control system created by Linus Torvalds in 2005. Git records every change made to the codebase, who made it, and when, creating a complete history that allows developers to trace the evolution of any line of code.

Most projects host their repositories on platforms like GitHub, GitLab, or Codeberg. These platforms provide not just code storage but a full suite of collaboration tools: issue trackers for reporting bugs and requesting features, pull request workflows for proposing and reviewing changes, continuous integration systems for automated testing, and documentation wikis. GitHub alone hosts more than 200 million repositories and serves as the home for the majority of the world's open source projects.

The repository is the single source of truth for the project. It contains the current state of the code, all historical versions, branches for active development, and tags marking official releases. Anyone can view the repository, clone it to their own computer, and begin working with the code. This openness is fundamental to how open source development operates.

The Contribution Workflow

Contributing to an open source project typically follows a structured workflow designed to maintain code quality while welcoming participation from anyone. The process begins when a contributor identifies something they want to change, whether that is fixing a bug, adding a feature, improving documentation, or optimizing performance.

The contributor creates a fork of the repository, which is their own copy hosted on the same platform. They make their changes in a separate branch within their fork, keeping the work isolated from the main codebase until it is ready for review. This branching model allows multiple contributors to work on different changes simultaneously without interfering with each other.

Once the changes are complete and tested locally, the contributor submits a pull request (or merge request, depending on the platform). This is a formal proposal to merge their changes into the main repository. The pull request includes a description of what was changed and why, and it automatically shows the exact differences between the contributor's code and the current main branch.

Maintainers and other community members review the pull request. They examine the code for correctness, style consistency, test coverage, security implications, and alignment with the project's goals. Reviewers may request changes, ask questions, or suggest alternative approaches. This back-and-forth review process is where much of the quality assurance in open source happens. Only after the maintainers are satisfied with the changes do they merge the pull request into the main codebase.

Code Review and Quality Assurance

Code review is the primary quality gate in open source development. Unlike proprietary software where code might be reviewed by a small team of colleagues, open source code review is a public process. Anyone can read the proposed changes, comment on them, and identify potential issues. This transparency creates accountability and encourages high standards, since every line of code is visible to the entire community.

Most mature open source projects enforce automated checks alongside human review. Continuous integration (CI) systems automatically run the project's test suite against every proposed change, ensuring that new code does not break existing functionality. Linting tools check for coding style violations. Static analysis tools scan for common bugs and security vulnerabilities. These automated checks run before human reviewers examine the code, catching mechanical issues and freeing reviewers to focus on design and logic.

The standards for code acceptance vary by project. Some projects require multiple approving reviews from different maintainers before code can be merged. Others require that all existing tests pass and that new code includes its own tests. Large projects may have specialized reviewers for different subsystems, so a change to the networking code is reviewed by networking experts while a change to the user interface is reviewed by UI specialists.

Project Governance

Governance determines how decisions are made within an open source project, from technical choices about architecture and dependencies to community policies about conduct and contribution guidelines. The governance model significantly affects a project's culture, direction, and long-term sustainability.

The simplest governance model is the benevolent dictator for life (BDFL), where a single person has final authority over all project decisions. This model works well when the founder has strong vision and earned trust, as was the case with Linus Torvalds for Linux and Guido van Rossum for Python (though van Rossum stepped down from the role in 2018). The BDFL model provides clear, fast decision-making but creates a single point of failure if the leader becomes unavailable.

Committee or council-based governance distributes decision-making among a group of elected or appointed members. The Python project transitioned to a Steering Council model after van Rossum's departure. The Rust programming language uses a team-based model where different working groups have authority over different aspects of the language and its ecosystem. These models provide resilience and diverse perspectives but can slow decision-making when consensus is difficult to reach.

Foundation-governed projects operate under the umbrella of a nonprofit organization that provides legal structure, financial management, and neutral governance. The Apache Software Foundation oversees more than 350 projects, providing a standardized incubation process, legal protection for contributors, and a meritocratic governance framework. The Linux Foundation, Eclipse Foundation, and Cloud Native Computing Foundation serve similar roles for their respective project ecosystems.

Release Management

Open source projects use various strategies for packaging and releasing stable versions of their software. The most common approaches are time-based releases, feature-based releases, and rolling releases.

Time-based releases ship new versions on a fixed schedule regardless of which features are ready. The Linux kernel releases approximately every nine to ten weeks. Ubuntu releases a new version every six months, with long-term support versions every two years. This model provides predictability for users and distributors who need to plan upgrades.

Feature-based releases ship when specific planned features are complete and tested. This model can produce more polished releases but makes the schedule less predictable. Blender, for instance, ties major releases to the completion of significant new capabilities.

Rolling releases continuously deliver updates without discrete version numbers. Distributions like Arch Linux and Gentoo follow this model, where users receive a constant stream of package updates rather than periodic large upgrades. This approach gives users the latest software immediately but requires more attention to compatibility and stability.

Funding and Sustainability

Sustainable open source development requires resources, including developer time, infrastructure, and organizational support. The funding models that support open source are as varied as the projects themselves.

Corporate sponsorship is the largest source of funding for major open source projects. Companies that depend on open source employ developers to work on it full-time. Google employs contributors to Linux, Kubernetes, Chromium, and many other projects. Microsoft contributes to Linux, VS Code, TypeScript, and the .NET ecosystem. These companies invest in open source because they depend on it and because contributing is cheaper than building proprietary alternatives.

Foundations collect membership dues, donations, and event revenue to fund project infrastructure and development. The Linux Foundation's annual revenue exceeds 250 million dollars, supporting a broad portfolio of projects and initiatives. Smaller foundations and community organizations fund projects through grants, individual donations, and platforms like Open Collective and GitHub Sponsors.

Some open source projects are funded through commercial offerings built on top of the open source code. Companies like Red Hat, Canonical, Elastic, and Confluent provide enterprise versions of their open source software with additional features, support, and service-level agreements. This "open core" model aligns commercial incentives with open source development, though it can create tensions when deciding which features belong in the free version versus the paid offering.

Key Takeaway

Open source software works through a structured collaboration model built on public repositories, transparent code review, community governance, and diverse funding sources. The process is designed to maintain quality while enabling contributions from anyone, creating software that benefits from collective expertise rather than being limited to a single organization's resources.