Build the version-control core as deterministic software and use the LLM to propose edits or conflict resolutions—not to decide what the repository contains or move history pointers unchecked. Preserve Git’s separation between immutable snapshot objects, commit history, a staging index, and movable references; then validate every model proposal against a specific base revision before it can be committed.
What a Git-like system needs to preserve
Git’s core data model separates repository content from the names used to find it. Its main components are objects, references, the index, and reflogs. That separation is a useful starting point for an LLM-assisted system because it gives each kind of state a clear role. The Git data model documentation describes these components and the object types they use.
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Objects represent content and history
A blob holds file content; a tree represents directory contents and points to files or nested directories; and a commit points to a top-level tree and zero or more parent commits. A commit also records author and committer identities and times, plus a message. Git names a fourth object type, tag objects, for annotated tags. Tree entries can represent executable files, symbolic links, directories, and gitlinks, so a repository snapshot is more than a collection of plain text files.
Objects are immutable: as the Git documentation puts it, “Git objects never change after they’re created.” A commit’s core representation is not a saved diff; it connects a snapshot to its parent history, and a diff can be calculated when needed. Regular commits have one parent, while merge commits may have two or more. Modeling snapshots and parent links as the historical truth lets the system derive changes between revisions without making a patch transcript the only record of history.
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References, the index, and the working tree have different jobs
Branches and tags are references: named pointers into the object history. A branch can move to a newer commit while the earlier commit remains intact. Reflogs record changes to references. The working tree is the checked-out file state, while the index—often called the staging area—records paths and content selected for the next commit. Git turns the index into tree objects when creating a commit. Its data model documentation and user manual describe these distinct roles.
This separation matters for an AI coding workflow: an edit made by a model should not silently become a committed snapshot. Users need a way to inspect and select proposed changes before they enter a commit.
How to structure the implementation
The following architecture is an engineering recommendation inferred from Git’s documented model. Git’s documentation describes Git; it does not prescribe an architecture for LLM agents.
1. Store immutable blobs and trees
Represent file contents as blobs and directory structure as trees. Give each object an identifier derived from a canonical serialization of its type and contents. Decide and document the serialization and hash algorithm before relying on identifiers for compatibility: the cited Git data-model description establishes that object IDs derive from type and contents, but it does not select an algorithm for a new system.
Canonicalization is essential to predictable identifiers. Your implementation should define how paths, encodings, metadata, and tree-entry ordering are represented, rather than allowing multiple byte encodings for what the application considers the same object. Keep created objects immutable; a changed file should produce a new blob and, as needed, new trees.
2. Make commits a graph of snapshots
Store each commit with a tree identifier, parent commit identifiers, author and committer metadata, timestamps, and a message. Allow multiple parents so merge history can be represented. Compute diffs by comparing trees when requested, or maintain a derived diff index for performance; do not make the diff the only historical truth.
Keep attribution truthful. If a model generated a change, record that fact in an appropriate application-level audit trail or metadata convention; do not make commit fields imply that a human authored or approved work when that did not happen.
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Store branch names as mutable references to immutable commits. Maintain a working tree separately from the index so that the system can distinguish edits that exist in files from edits selected for the next commit. A commit should be constructed from the staged snapshot, not from every unreviewed model edit in the workspace.
Record reference movements in a reflog or equivalent operation log, and define how long those records are retained and how recovery works. Git documents reflogs as records of reference changes; the retention and recovery policy is a design choice for your implementation.
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4. Constrain model output to proposals
Give the LLM an explicit base revision and a narrowly scoped task. Ask for a structured proposal—such as file edits or a suggested resolution—rather than permission to mutate committed history. A deterministic layer should then verify the proposal’s base revision, target paths, permissions, object construction, and intended reference update before applying it.
Reject or explicitly rebase a proposal if its base revision is stale. Otherwise, the model may produce a plausible edit against files or assumptions that have already changed. Treat the model’s output as untrusted input: parse it, validate it against the allowed operation format, and make failure visible instead of silently applying a partial or malformed change.
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5. Review first, then commit and advance the branch
Show the user a diff or change summary, including affected paths, before creating the commit. After validation and any required approval, construct the immutable commit from the staged state and advance only the intended reference. Keep commit creation and reference movement controlled so a failed validation cannot leave a branch pointing at an incomplete result.
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How to handle merges and conflicts
A merge is not just asking a model to combine two text snippets. The system must identify the histories being combined, align paths, account for renames, compare file content, and record unresolved conflicts. Git’s merge API documentation describes tree selection, path matching, rename detection, and three-way file merging; the Git User’s Manual explains that independent changes may merge automatically, while unresolved files require resolution and an index update before commit.
Use a three-way comparison, then preserve unresolved state
- Identify the common ancestor and the two commits or trees being merged.
- Compare the paths and contents from the ancestor to each side. Account for path changes, including renames, before deciding which files correspond.
- Apply deterministic merging where the changes are independent and the system can reconcile them safely.
- For paths that cannot be reconciled automatically, record explicit conflict state and preserve the competing inputs. Do not make a normal commit possible while unresolved paths remain.
- Let a user or LLM propose a resolution. Validate it against the recorded merge inputs, present the result for review, then stage the resolved path and complete the merge commit.
Git’s index can hold multiple stages for a path during a conflicted merge. A new implementation need not copy Git’s internal representation, but it should preserve the equivalent information: which versions conflict, which paths remain unresolved, and what resolution was accepted. This makes conflict state inspectable and prevents a generated answer from erasing the fact that there was a conflict.
Which design choices matter most?
| Design question | Git-like choice | Alternative and trade-off |
|---|---|---|
| What is historical truth? | Immutable snapshots connected by commit parent links; derive diffs as needed. | Patch-only history makes recorded edits central, but does not preserve the same snapshot-and-parent model. |
| When do edits become part of a commit? | Use an explicit index between the working tree and the next committed snapshot. | Committing every model edit immediately removes a selection and review boundary. |
| What happens when a merge cannot be completed automatically? | Keep visible unresolved state and block commit until paths are resolved and staged. | Automatically accepting a model-generated result without preserving conflict state obscures what was contested. |
| Who can move a branch? | Allow controlled, auditable movement of a reference to an existing immutable commit. | Unvalidated pointer changes weaken recovery and make history harder to trust. |
| What authority does the LLM have? | Generate suggested edits or resolutions; deterministic checks and review govern application. | Letting the model mutate committed history directly removes the validation boundary. |
These are implementation trade-offs, not a claim that Git’s documentation recommends LLM-specific behavior. The Git sources establish the underlying state model; the safeguards around model output are design advice for preserving that model.
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- Identical canonical object content produces the same identifier, while altered content produces a different identifier.
- Commits retain their tree and parent links, including multiple parents for merges.
- Moving a branch does not rewrite the old commit objects, and the reference movement can be inspected or recovered according to your defined policy.
- Staged and unstaged edits remain distinguishable, and only staged content enters a commit.
- A merge conflict is represented as unresolved state and blocks commit until the resolution is accepted and staged.
- A model proposal based on a stale revision is rejected or explicitly rebased rather than silently applied to a different state.
- Invalid paths, unauthorized operations, malformed proposals, and failed writes do not cause unintended reference movement.
For a deeper explanation of Git’s object storage, see the Pro Git chapter on Git objects.
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