Greptile vs. Local Verification

Greptile’s differentiator in the reviewer field is context: it indexes the entire codebase and says its reviews query that graph for relationships beyond the changed lines. That architecture may help with cross-file effects. It does not by itself establish a detection rate or superiority for your repositories; test representative PRs and record useful findings, false positives and misses.

The commercial side (as of July 2026): $30 per seat per month, 50 credits per seat and $1 per additional credit. The page says a standard review uses one credit and a TREX review uses three. Greptile also documents SOC 2 Type II and licensed self-hosting. These are vendor statements retrieved 17 July 2026, not an independent assurance for a customer deployment.

For a diff reviewer, the data at stake is the change. For Greptile, the value proposition depends on indexing your whole repository. Its security page states that cloud customer code is stored on an encrypted filesystem and remains cached until repository access is revoked; on request, production data is hard-deleted within 24 hours, backups within 30 days; de-identified data may be used for training unless you opt out. It also describes embeddings and chat logs. Treat each point as a vendor statement and assess the actual contract, settings, region, model endpoints, retention and access controls. The general data-boundary method is in our local AI code review guide.

Evaluate Greptile when repository-relationship context is a material review need and the documented cloud or self-hosted data path can meet your constraints. Use representative PRs and a predeclared rubric; do not infer local quality from vendor architecture, certification or aggregate marketing results.

Add a local task check when the open question is conformance - did the AI build what we asked? - because code review and task comparison use different references. Whether either check is sufficient depends on the written task, selected commands, observed output and human decision.

Reality Graph occupies the local task-check slot in the table. It compares a governed run with its written task and records observed results in an evidence report. Its local boundary covers the commands and artifacts selected for that run; any configured external service must still be assessed separately. It does not establish Greptile’s quality, security or compliance, and it does not replace PR review. What that slot covers, and where it is still thin, is set out in the feature list and the gaps it admits.