Planning, code, and tests synchronized with the specification.
Planning tools, repositories, and CI pipelines feed into OakCore. You do not maintain two parallel truths between spec and product.
Integration without tool switching
OakCore sits between specification and delivery. Planning tools, repositories, and pipelines feed into the same graph, instead of maintaining parallel lists across tools.
Planning and tickets
Requirements live in OakCore, execution in your planning or ticket tool. Status and progress are visible on both sides, without duplicate maintenance.
Ticket and planning tools
Connect to common tools such as Jira or Azure DevOps. Requirements and tasks map to tickets and work items, ownership stays clear.
Status back into the specification
Implementation progress, blockers, and planning status flow back into specification context. Project leads see status without switching tools.
Targeted field mapping
Define which metadata and status values transfer between OakCore and your planning tool. Only what matters gets synchronized.
Code coupling
Requirements and components keep their link to the codebase in the graph. This strengthens synchronization across the project and brings systems engineering and implementation together.
Repository connection
Connect Git repositories, for example on GitHub, GitLab, or Bitbucket, directly to the project. Code context is available on the artifact and directly navigable.
Traceability through to implementation
From requirement to codebase, without manual link maintenance. Implementation gaps become visible as they appear.
CI and test results
Test results from the pipeline land on test specs in the graph. Through links, you see which requirements are covered and where things fail.
CI pipeline connection
Builds and test runs from your pipeline feed results into OakCore. No manual transfer of test reports.
Test results on test specs
Passed and failed tests map to test specs. Through links in the graph, they are visible for the related requirements.
Current state in the graph
When the pipeline runs, the graph updates with it. You work from today's status, not a spec that lagged behind the product weeks ago.