Build the review packet.
Hubolt expands the diff with related files, semantic regions, ownership hints, and repository rules.
CODE REVIEW CONTROL PLANE
Context-rich reviews, analyzer-backed evidence, routed model spend, and an audit trail that makes every finding traceable.
Hardcoded credential candidates are promoted only with file evidence and verification notes.
Provider spend is reserved, settled, refunded, and audited as separate states.
Hubolt keeps the model inside a bounded review workflow: gather context, check machine signals, generate findings, and record the outcome.
Hubolt expands the diff with related files, semantic regions, ownership hints, and repository rules.
Analyzers produce grounded signals before the LLM writes a finding, keeping guesses out of the review.
Budget gates, provider routing, and rule memories shape the prompt before a finding reaches a reviewer.
Usage, final states, posted comments, and reviewer feedback are stored so each review can be traced later.
The web panel keeps active work one glance away: recent reviews, queue pressure, provider credentials, budget limits, and audit history.
Findings, analyzer signals, confidence, model usage, and file locations in one scan path.
Provider credentials stay encrypted, queue state is visible, and model catalog pricing is explicit.
Monthly caps and alert thresholds are managed per provider without exposing stored secrets.
Hubolt reviews where your code lives, routes spend to the models you pick, and pushes findings to the tools your team already watches.
Live: GitHub, OpenAI, Anthropic, Google, Slack, Teams, Jira, ClickUp, Asana. On the roadmap: GitLab, Bitbucket.
Estimate monthly review cost using the gateway catalog rates and a context-heavy planning figure of 60k tokens per review.