CODE REVIEW CONTROL PLANE

HUBOLT

Context-rich reviews, analyzer-backed evidence, routed model spend, and an audit trail that makes every finding traceable.

semantic context budget guardrails inline GitHub review
app.hubolt.local / overview
db ok . 18ms
reviews stored 1,284
queue active 12
month spend $428
high src/server/services/llm-gateway.ts budget reconciliation
medium src/queue/review-processor.ts memory retrieval gap
low web/js/views/reviews.js empty state coverage
Analyzer signal Secret scanner

Hardcoded credential candidates are promoted only with file evidence and verification notes.

Gateway guardrail Budget held

Provider spend is reserved, settled, refunded, and audited as separate states.

From changed code to a review your team can defend.

Hubolt keeps the model inside a bounded review workflow: gather context, check machine signals, generate findings, and record the outcome.

01 / Intake

Build the review packet.

Hubolt expands the diff with related files, semantic regions, ownership hints, and repository rules.

02 / Evidence

Run machine checks first.

Analyzers produce grounded signals before the LLM writes a finding, keeping guesses out of the review.

03 / Review

Route the model by risk.

Budget gates, provider routing, and rule memories shape the prompt before a finding reaches a reviewer.

04 / Settlement

Write the audit trail.

Usage, final states, posted comments, and reviewer feedback are stored so each review can be traced later.

An operations console for the review loop.

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.

Your stack, in the review loop.

Hubolt reviews where your code lives, routes spend to the models you pick, and pushes findings to the tools your team already watches.

Hubolt 9 live integrations
  • Source control
  • Models
  • Notifications
  • Issue tracking

Live: GitHub, OpenAI, Anthropic, Google, Slack, Teams, Jira, ClickUp, Asana. On the roadmap: GitLab, Bitbucket.

Route by risk. Keep spend visible.

Estimate monthly review cost using the gateway catalog rates and a context-heavy planning figure of 60k tokens per review.

Balanced route estimate $54
300 reviews / month fast $1.35 . thorough $90