Codebase Understanding
Understand an unfamiliar codebase faster.
Follow code, Markdown documentation, relationship graphs, and project history from one editor workspace. FiboCode keeps explanations close to the source they describe, so discovery becomes a connected path instead of a pile of disconnected searches.
A codebase is more than the files you can open.
A new repository rarely explains itself in the order you need. Naming reveals only part of the story, important behavior crosses module boundaries, and the reason behind a decision may live outside the current file. Reading files one after another can show implementation details while still hiding the larger system.
FiboCode connects editable code with readable Markdown and navigable graphs. You can begin with a relevant source selection, read or create an explanation, and follow tagged relationships into the next file, document, or graph. The code remains the source of truth while supporting knowledge stays close enough to verify.
See understanding move across connected views.
Begin with a codebase-wide analysis, then understand one file through existing documentation and relationship graphs before asking AI about selected code.
Start with a codebase-wide analysis that gives unfamiliar files and directories a readable structure for further investigation.
Move through code, documentation, and graphs around one file, then continue from that stored knowledge with a focused AI query.
Move from a question to verified context.
The workflow stays grounded in the repository and leaves a readable trail for the next person.
Start with the code that triggered the question.
Open the relevant file or select the implementation you need to understand. This gives every explanation a concrete source context instead of beginning from an abstract summary.
Read or capture the explanation in Markdown.
Use Markdown to describe behavior, intent, boundaries, and open questions in a form both developers and coding agents can read and refine.
Follow relationships through graphs and tags.
Navigate from the explanation to related modules, decisions, or diagrams. Tags carry the connection between code, docs, and graphs rather than flattening everything into one view.
Verify the model against editable source.
Return to the referenced code whenever an explanation needs checking. Update the knowledge beside the implementation so later exploration starts with current evidence.
A connected workspace for code investigation.
Code stays the source of truth.
Supporting material points back to the implementation it describes, making it easier to test an explanation against real behavior.
Markdown makes intent readable.
Analysis, decisions, and explanations remain plain project knowledge that humans and agents can both read and write.
Graphs expose relationships.
Connected views make module and document relationships visible and navigable when a linear file list is not enough.
History preserves how understanding changed.
Specs, designs, change explanations, and analysis records create a traceable account that can grow with the codebase.
Use case: onboarding into a service you did not build.
Suppose you inherit a service with an unfamiliar request path. Begin at the handler, capture what it does, and use connected tags and graphs to find the domain logic and downstream dependency. Each hop remains tied to a file or document you can inspect.
The result is useful beyond the first tour. A teammate can revisit the same explanation, challenge it against the source, and extend it when the service changes instead of repeating the original investigation from scratch.
More durable than a one-time code summary.
A generated summary can be helpful, but a detached answer soon loses its evidence and place in the system. FiboCode treats understanding as connected project material: code, docs, graphs, and history remain distinct views with paths between them.
This page is about helping people investigate a codebase. If your next concern is giving a coding agent durable context for future work, continue to Codebase Context.
Codebase understanding FAQ
Does FiboCode replace reading the source code?
No. Code remains the source of truth. FiboCode connects explanations and relationships to source so you can verify what the supporting material says.
Can I use existing Markdown documentation?
Yes. Markdown is the shared surface for explanations, specs, designs, plans, analysis, and change records, so repository knowledge stays readable to people and agents.
How do graphs help with an unfamiliar repository?
Graphs make relationships visible and navigable. They complement source and prose when behavior crosses files or when a system boundary is difficult to see linearly.
Is this only useful during onboarding?
No. It also supports legacy-code investigation, impact analysis, architecture exploration, and revisiting why a part of the system evolved.
Can a coding agent use the same knowledge?
Yes. The Markdown records and connected project context are readable by agents as well as people. Codebase Context explains how that knowledge supports later agent work.