返回资讯中心
外部精选
软件工程
#开发者实时流

CodeRabbit – Automated review, triage, and security for AI-generated PRs

AI-driven code now outpaces human capacity.

Hacker News 最新doodlesdev2026/11/5 · 今天18 分钟阅读

以下正文同步自 Hacker News 最新,版权归原站所有,已转换为易读排版。

AI-driven code now outpaces human capacity. We help teams ship code, not surprises.

01 Review every PR automatically

coderabbitaibotcommented 2 minutes ago

Review Change Stack

Potential issue|Major

Reject expired refresh tokens before issuing a session.

Check the token expiry before creating a new authenticated session.

Guard against expired refresh tokens before issuing the session:

coderabbitaibotcommented just now

02 PrioritizeNowWithin each person's daily capacity

14

P0Skip bot-authored comment review tasksReview this early because it can resolve assumptions that may affect nearby PRs and reduce rework.Low security riskMaintenanceDeep review

lop #21102· @ezrapike[bot]

P1feat(agents): extend per-run prompt_cache_key to cbe/customcheck/mcp-researchReview this early because it can resolve assumptions that may affect nearby PRs and reduce rework.Low security riskFeatureDeep review

rex #21194· @arlopike

NextAll remaining reviews

66

P1fix(dashboard): scope PR details authors by orgKeep this visible for async review because it is useful work without an immediate interruption signal.Low security riskBug fixStandard review

havana #21189· @ezrapike[bot]

P2[codex] Lean path instruction metrics insertHold this behind refresh work because draft, conflict, or drift signals would make reviewer attention premature.Needs author actionLow security riskDraft

silver #21153· @miravale

03 Understand

04 SecureReal-time codebase healthMostly healthy

Scanning every PRLast scan now0 critical

Dependency vulnerabilityHigh

axios · GHSA-4w2v-q235-vp99Detected on PR #482Fix ready

Severity distributionAI Deep Scan and Dependencies

1,999findings

Critical 2%High 12%Unscanned 40%Healthy 46%

Read the Swiggy case study in a new tab

Read the Visma case study in a new tab

Read the Swiggy case study in a new tab

Read the Visma case study in a new tab

Read the Trivago case study in a new tab

Read the Clerk case study in a new tab

Read the Task Rabbit case study in a new tab

Trusted by17Kcustomers

We're using CodeRabbit all over NVIDIA

Watch the NVIDIA customer story in a new tab

Fast code. Faster chaos.

Coding agents are flooding pipelines with massive PRs faster than teams can validate, prioritize, understand, or secure them.

We pioneered AI code reviews and have best-in-class context. Our automated reviews are the central validation layer for AI code.

The record updates, but the stale project key remains in Redis.

  • await updateProjectAndInvalidate(input)

codexcoding agentreplied 1m ago

Fixed in 9f2c4a1 — invalidation now runs after the transaction, with a regression test for the stale-cache path.

coderabbitaibotchecked now

Verified. The cache is cleared after commit and the new test covers the failure mode.

coderabbitaibotreviewed 3m ago

Return the HTTP error from the service layer.

This keeps the handler smaller and centralizes error mapping.

Understood — I'll follow that convention in future reviews.

Learning: Handlers map domain errors to HTTP responses.

Update changelog

Notify release channel

Sync docs

coderabbitaibotcommented just now

▶🚀 Post-Merge Actions@shaun-k, one or more post-merge actions failed.

Notify release channel — Slack connection unavailable.

coderabbitaibotreviewed 2m ago

Invalidate the cache after the mutation.

The record updates, but the stale project key remains in Redis.

  • await updateProjectAndInvalidate(input)

codexcoding agentreplied 1m ago

Fixed in 9f2c4a1 — invalidation now runs after the transaction, with a regression test for the stale-cache path.

coderabbitaibotchecked now

Verified. The cache is cleared after commit and the new test covers the failure mode.

Dozens more points of context

We bring in more context than any other tool for reviews that actually understand your codebase.

Customize everything from your coding guidelines to your workflow and review style with Quiet, Chill, and Assertive profiles.

With more PRs than ever ballooning your queue, CodeRabbit Triage scores, ranks, and routes them to ship value faster.

Ship changes with high business impact first.

Fast-track safe, routine PRs and review high-risks ones carefully.

Auto-assign the right reviewer with the PR for a faster review.

A Kanban board for PRs that helps you understand your queue at a glance.

Git platforms make massive diffs confusing. Change Stack helps you understand a thousand-line diff in minutes.

Created with teams deploying long-running agents in mind.

Understand what it means, not just what changed.

Ditch outdated pattern matching tools and get continuous monitoring from CodeRabbit Security.

SMSecurity/Overview

Scan repositoryOverviewExample scan data

Repository postureHigh / critical · Medium · Verified

web-app

api

auth

workers

web-app

api

auth

workers

web-app

api

auth

workers

Security TrendScan findings by severity over time

+  Repository+  Finding typeAI Deep ScanDependency vulnerabilities

30d90d180d

MoreFewer

EarlierLater

Severity DistributionExample scan data, not measured results: an illustrative mix of critical, high, medium, and low findings.Severity DistributionExample scan dataExamplefindingsCriticalHighMediumLow

AI threats need AI tools

With LLMs, time to exploit is <1 day for disclosed vulnerabilities.

Reasons across your codebase to find what rules can’t.

Verifies findings to reduce false positives and then fixes it in a PR.

Across each step, we pull in dozens more points of context than other tools.

CodegraphBuilds a deterministic map of every possible node affected by the change.

Gathers related history, docs, and context for how your team works in the codebase.

Brings in context from PRDs, issues, and internal docs relevant to the work.

Uses agentic code generation and exploration, static verification, and analysis to deliver a review.

Brings together multiple models to solve difficult problems, playing to their relative strengths.

The same codebase intelligence that powers every review powers an agent that helps teams with things like planning, incident response, and triage.

Your error monitoring, deployment alerts, and incident feeds all post to Slack. CodeRabbit Agent monitors and triages incidents, investigates, and suggests a fix.

Rollback is live. Checkout auth is green in every region. I’ll keep the incident open until PR #2851 lands.

Monitoring confirms the rollback restored checkout authentication. No new 401s in 12 minutes; incident status moved to Resolved.

CodeRabbit Agent triages support cases, gathers customer and codebase context, and drafts responses.

CodeRabbit cross-references errors with merged PRs, codebase history, and past incidents to root out the underlying cause.

Reduce AI rework and improve ROI by helping teams define scope, assumptions, and success criteria before code is generated.

30% time savings across 50 pull requests per day.

: Writerreviewer hours saved100+

In 30 days, with 65%+ acceptance on critical findings.

: Abnormalfaster pull request merges70%

30% fewer review cycles per pull request.

: Swiggyfaster merge workflow40%

70% acceptance of potential bugs flagged in review.

正文由 探How 从来源站点 RSS 同步,内容未经改写;遇到排版缺失或需要图片、视频时请以原文为准。

打开原文
去社区讨论 →