Setting up documentation that stays current with your codebase requires connecting your repository to systems that capture the context behind code changes. Source-linked documentation automatically generates docs from pull requests, code reviews, and related discussions, ensuring your documentation reflects the actual state of your code.
What this article solves: Manual documentation that goes stale within weeks of writing, forcing teams to choose between outdated wikis and no documentation at all.
Who this is for: Engineering teams starting new repositories who want documentation that stays current without manual maintenance overhead.
Why Source-Linked Documentation Matters
Traditional documentation lives in a separate system from your code. When developers make changes, they update the code but often skip updating the docs. Within weeks, your wiki becomes unreliable. Teams stop trusting it, new hires get confused, and institutional knowledge lives only in people's heads.
Source-linked documentation solves this by generating docs directly from your development workflow. When you merge a PR, update a Linear ticket, or discuss architecture in Slack, the documentation automatically captures that context and links back to the source. The result: docs that stay current because they're built from the same activities that drive your codebase forward.
This approach works especially well for architecture decisions, incident runbooks, and onboarding documentation where the "why" behind code changes matters as much as the "what."
Connect Your Repository to Documentation Sources
Start by identifying where your team's knowledge already lives. Most engineering teams generate valuable context in three places: GitHub pull requests and code reviews, project management tools like Linear or Jira, and communication channels like Slack.
GitHub Integration Setup
Connect your repository to capture PR descriptions, code review comments, and commit messages. This creates a foundation of source-linked documentation that explains what changed and why. The system can generate architecture documentation from PRs that modify core systems, and create decision logs from code review discussions.
Enable webhook notifications so documentation updates happen automatically when PRs are merged. Configure branch protection to ensure important changes go through code review, which creates the discussion context that becomes valuable documentation.
Project Management Integration
Connect Linear or Jira to capture ticket context and requirements. This links feature documentation to the original requirements and user stories. When someone asks "why did we build this feature this way," the documentation can point back to the specific ticket and discussion thread.
Set up automation rules so ticket updates trigger documentation updates. This ensures that scope changes, requirement clarifications, and implementation notes get captured in the final documentation.
Communication Channel Integration
Connect Slack channels where architectural decisions happen. Many teams discuss trade-offs, debate implementations, and share context in Slack threads that never make it into formal documentation. Source-linked documentation can capture these discussions and link them to the relevant code changes.
Focus on channels where technical decisions happen: architecture discussions, incident response channels, and team-specific engineering channels. Avoid connecting channels with too much noise or non-technical discussion.
Set Up Documentation Generation Rules
Configure what types of documentation get generated automatically and what triggers the generation. Different types of changes should produce different types of documentation.
Architecture Documentation Rules
Set up rules to generate architecture docs when PRs modify core systems, add new services, or change data models. These PRs often contain valuable context in the description and code review comments that explains architectural decisions.
Configure the system to capture database schema changes, API modifications, and service integrations. This creates a living record of how your architecture evolves and why specific decisions were made.
Incident and Runbook Documentation
Create rules that generate runbook documentation from incident response activities. When your team responds to an outage, the Slack threads, Linear tickets, and GitHub commits contain valuable troubleshooting context that should become permanent documentation.
Set up triggers for specific incident-related labels or keywords so the system knows when to capture this type of context. This creates runbooks that reflect actual incident response procedures, not theoretical ones.
Decision Record Generation
Configure automatic generation of Architecture Decision Records (ADRs) from significant PRs and related discussions. When a PR introduces a new technology, changes a core pattern, or makes a significant architectural choice, the system should capture the context and create a decision record.
Define what constitutes a "significant" change based on file paths, PR size, or specific labels. This ensures you capture important decisions without generating noise from routine changes.
Configure Documentation Organization and Structure
Organize your generated documentation so teams can find what they need quickly. Source-linked documentation works best when it follows predictable patterns that match how your team thinks about the codebase.
Repository-Based Organization
Structure documentation to mirror your repository structure. Architecture docs should align with service boundaries, runbooks should group by system, and onboarding docs should follow the natural learning path through your codebase.
Create clear naming conventions so generated documentation is easy to find and reference. Use consistent prefixes or suffixes that indicate the documentation type and source.
Linking and Cross-References
Set up automatic cross-referencing so related documentation links together. When a new PR references an existing architectural decision, the documentation should link between them. This creates a web of connected context that helps people understand how decisions relate to each other.
Configure bidirectional linking so you can navigate from code to documentation and from documentation back to the source PR, ticket, or discussion thread.
Implementation Checklist
- Connect GitHub repository with webhook notifications enabled
- Configure Linear or Jira integration for ticket context capture
- Set up Slack integration for relevant technical discussion channels
- Define documentation generation rules for architecture changes
- Configure incident response documentation triggers
- Set up ADR generation for significant architectural decisions
- Establish documentation organization structure
- Configure automatic cross-referencing between related docs
- Test the system with a sample PR that should generate documentation
- Train team on how to write PR descriptions that generate useful docs
- Set up review process for generated documentation quality
- Configure notifications so team knows when new docs are generated
Maintain Quality and Relevance
Source-linked documentation requires some ongoing attention to maintain quality. Set up review processes and feedback loops to ensure the generated documentation serves your team's needs.
Establish guidelines for writing PR descriptions and code review comments that generate useful documentation. Train your team to include context about why changes were made, not just what changed. This improves the quality of generated documentation significantly.
Create feedback mechanisms so team members can flag when generated documentation misses important context or includes too much noise. Use this feedback to refine your generation rules and improve accuracy over time.
Set up regular reviews of generated documentation to identify gaps or areas where manual curation adds value. While the goal is automation, some documentation benefits from human organization and synthesis.
Source-linked documentation transforms how engineering teams maintain knowledge by making documentation a byproduct of development work rather than a separate task. When docs are generated from the same PRs, tickets, and discussions that drive your codebase forward, they stay current naturally.
Ready to implement source-linked documentation for your team? Explore how ScopeDocs connects GitHub, Slack, and Linear to generate documentation that stays current with your codebase.