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.

See how it works

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

Early

Access

Accepting First 5 Engineering Teams

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.