Detect
A provider contract, SDK, or platform behavior changes outside your repository.
INPUT · EXTERNAL SIGNALEvidence-driven software maintenance
For platform teams maintaining API- and SDK-heavy systems, Refresh watches the world around your code, researches what changed, proposes the smallest safe repair, and proves it before a human decides.
External changebecomesgrounded repairbecomesverified decision
The product in 30 seconds
Refresh does not guess from stale model memory. Every repair starts with current evidence and ends with a result a maintainer can audit.
A provider contract, SDK, or platform behavior changes outside your repository.
INPUT · EXTERNAL SIGNALTavily finds and extracts the current official source. Refresh preserves the citation and hash.
GROUNDING · TAVILYNVIDIA Nemotron reasons over the source and proposes one bounded code change through Nebius.
REASONING · NVIDIA + NEBIUSThe baseline reproduces the gap. A disposable runner challenges the candidate against old and new checks.
EVALUATION · TRUSTED RUNNERThe maintainer receives the patch, provenance, test delta, and any unresolved safety limits.
OUTPUT · HUMAN REVIEWWhy Refresh is different
Dependency tools watch versions. Coding copilots wait for prompts. Refresh starts with current external evidence, turns it into a behavioral check, and makes the repair prove it understood the change.
Excellent when a version moves. Less useful when a documented API contract changes without one.
Useful after a developer identifies the problem. The diagnosis and proof still begin with the human.
Current source → grounded claim → regression check → bounded repair → verified decision.
A real repair, not a mock-up
This walkthrough replays a verified live run. Choose a stage to see what entered, what Refresh produced, and why it mattered.
The seeded adapter treated HTTP 200 plus one successful item as total success, silently discarding failed URLs from the same response.
The important difference
It makes the failure visible first, then proves the candidate against the same behavior. That turns model output into engineering evidence.
Proof, not theatre
The public experience uses recorded evidence from the verified live run. Identifiers are non-secret and trace the runtime path without exposing credentials.
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Evidence before automation
Refresh turns change into a source-linked, tested, human-reviewable repair.