Architecture-aware pull request intelligence

Catchrisky codebefore it ships.

PR intelligence stream

> analyzing PR #42... risk: HIGH — confidence: 94%|

GrepAI builds repository context before review, traces architecture impact normal code review misses, and posts merge risk directly inside GitHub without changing developer workflow.

No install required. Connect a repository and review risk inside GitHub.

< 60s

Analysis per PR

Median review latency from diff to risk signal

0

Workflow changes

Works inside the PR flow your team already uses

100%

GitHub native

Risk comments, context, and merge guidance stay in-thread

AI

Powered analysis

Repository context graph built before judgment lands

Review artifact

PR #42.Refactor authentication middlewareHigh risk94% confidence
Representative GitHub review

Impact trace

auth-service
session-manager
api-gateway
billing-service

Findings

  • Shared authentication middleware now shifts session validation across dependent services
  • Token refresh boundary mutation touches gateway request state and billing execution paths
  • Circular auth provider dependency increases bootstrap risk before downstream retries

Recommendation

Review architecture boundaries before merge. Validate retry flows and downstream session integrity.

Files changed

5 files changed+214-89
  • src/auth/auth.middleware.ts
  • src/auth/token-refresh.ts
  • src/session/session-validator.ts
  • src/gateway/request-context.ts
  • src/billing/billing.service.ts

Blast radius

auth-service
session-manager
api-gateway
reporting-service

How GrepAI works

01

Event signal

PR Event

PR event streamed from GitHub.

02

Context engine

Diff + Context

Repository context graph generated.

03

Risk model

AI Analysis

Impact and boundary risk evaluated.

04

PR feedback

GitHub Feedback

Risk review posted inside the PR.