Now reviewing PRs at Series-B fintechs & infra companies

The autonomous code reviewer for production backends

Mergic is an AI senior engineer that reads every pull request against your entire codebase, infrastructure, and runtime telemetry — catching the bugs human reviewers miss before they ship.

10-minute install Works with GitHub, GitLab, Bitbucket SOC 2 Type II
Trusted by engineering teams shipping production software
Why teams choose Mergic

Built to catch bugs static tools provably can’t

Pattern-matchers find ~15% of real bugs. Mergic reasons about runtime impact — and the numbers show it.

more production bugs caught vs. SonarQube
0%
reduction in senior-engineer review time
0%
of Mergic comments rated “actionable”
0 min
median time-to-first-review on every PR
How Mergic works

An agent fleet that thinks like your best engineer

Mergic doesn’t scan diffs. It reasons about them — across your full repo, infra, and incident history.

01 · Code graph

Whole-repo context, not just the diff

Mergic continuously indexes every file, function, and call-site into a typed code graph. Reviews understand cross-service contracts, API consumers, and downstream blast-radius — not just the lines that changed.

  • Polyglot graph across Python, TS, Go, Rust, Java, Ruby
  • Real-time incremental indexing on every commit
  • Resolves call-sites across microservices and infra
graph payments.handleRefund
├─ calls   stripe.charges.retrieve
├─ calls   notifyOps(charge)
├─ writes  postgres://ledger.refunds
├─ consumed by 3 services
│   ├─ accounting-svc       (prod)
│   ├─ fraud-detector       (prod)
│   └─ ops-dashboard        (prod)
└─ incidents 4 (last 90d)
    └─ INC-1842 · webhook replay
02 · Runtime intelligence

Reads your Datadog & Sentry, so you don’t have to

Mergic correlates code changes with production signals — error rates, latency, incident postmortems — to surface the bugs that will actually page someone at 2 a.m.

  • Datadog, Sentry, PagerDuty, OpenTelemetry, New Relic
  • Incident-trained reranker prioritizes high-blast-radius PRs
  • Flags regressions tied to past incidents on the same path
runtime :: refund webhook
  errors_24h       +212%  on staging
  p99 latency      +340ms
  past incidents   2 (severity high)
  blast radius      ledger writes

verdict  block-merge recommended
confidence 94%
03 · Auto-fix agent

One-click safe patches, with tests

For high-confidence findings, Mergic proposes a complete patch — refactored to match your house style, with regression tests. You review the diff, you click merge.

  • Patches conform to your linter, types, and codebase idioms
  • Includes generated tests with measurable coverage delta
  • Abstains automatically below confidence threshold
+ import { withIdempotency } from "@/lib/billing";
+
  export async function handleRefund(req) {
+   return withIdempotency(req, async () => {
      const charge = await stripe.charges
        .retrieve(req.body.id);
      if (charge.amount > 100000) await notifyOps(charge);
      return refund(charge);
+   });
  }

tests 3 added · coverage +1.4%
The Mergic platform

One agent fleet. Five products. Zero swivel-chairs.

Each product runs on the same code graph and incident-trained models — so context compounds with every workflow you adopt.

Loved by senior engineers

The reviewer that never gets tired

“Mergic caught a race condition in our payment ledger on its second day. That single finding paid for the contract for the next decade.”

JK
Jules KapoorVP Eng · Helix Pay

“Our review SLAs went from 18 hours to 90 minutes. The team still does the final approval — Mergic does the cognitive heavy-lifting.”

MT
Maria ToledoStaff Engineer · Orbital

“It’s the first AI tool that doesn’t hallucinate. The verifier model abstains when unsure — that’s what made my CTO sign.”

DA
Daniel AronsonDirector of Platform · Northvault
FAQ

Questions, answered.

Static analyzers match syntactic patterns and catch about 15% of real production bugs. Mergic reasons about runtime impact: it knows which services consume the function you’re changing, how often that path has paged on-call in the last 90 days, and what your house-style fix looks like. The two are complementary — most customers keep their static tools and add Mergic on top.
No. Your code is never used to train foundation models or any other customer’s model. Per-customer fine-tunes (available on the Enterprise tier) are isolated, stored under your own KMS keys, and deletable on request. We’re SOC 2 Type II and ISO 27001 certified.
10 minutes to install the GitHub/GitLab/Bitbucket app and post the first review. Full code-graph indexing of a multi-million-line monorepo typically completes within a few hours. Most teams see their first “Mergic-caught-a-real-bug” moment within 48 hours.
First-class support for TypeScript / JavaScript, Python, Go, Rust, Java, Kotlin, Ruby, and C#. Infra-as-code via Terraform, Pulumi, CloudFormation, Helm, and Kubernetes manifests. Observability integrations: Datadog, Sentry, New Relic, PagerDuty, OpenTelemetry, Honeycomb, Grafana.
Yes — on the Enterprise tier we support single-tenant VPC deployment in your AWS, GCP, or Azure account, with bring-your-own-keys, customer-managed encryption, and air-gapped options for defense and healthcare workloads.
Every comment carries a confidence score. Below your team’s configured threshold, Mergic abstains rather than guessing. Every false positive becomes labeled data that improves your fine-tune — the data flywheel works in your favor, not against you.

Ship faster. Sleep better.

Plug Mergic into your repo today. See your first reviewed PR before lunch.