AI can generate code. We help it generate GOOD code.
The challenge is governing software change safely, accurately, and economically. PreBound is a Software Change Governance System that governs the path from intent to validated modification.
Measured across 1,000 repositories • 14 languages • 694 research lanes
Request Demo View BenchmarksGenerate code. Hope it works. No structured validation. No objective enforcement. No decision history. Problems surface in production, not during development.
Define objectives. Govern modifications. Validate outcomes. Apply verified changes. PreBound treats generated code as a proposal, not a result — every modification must satisfy repository requirements before it can land.
PreBound establishes awareness of the software system before modifications begin — its structure, dependencies, and invariants — so every subsequent change is grounded in the real codebase.
Every task is converted into an explicit modification objective with bounded scope. Changes outside approved scope are rejected. No unrelated edits. No scope creep.
Generated code is treated as a proposal, not a result. Proposed changes are evaluated against engineering constraints and project invariants. If a change fails, PreBound issues a repair directive and retries — automatically — until a valid outcome is produced.
Approved changes are committed to the repository. Nothing bypasses the governance workflow.
Every modification includes its objective, rationale, validation results, and final outcome — producing fully traceable software modifications.
PreBound helps engineering teams control how AI modifies software — reducing bugs, limiting drift, and improving long-term codebase health.
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