Skip to content
AI CODE AUDIT & HARDENING

Redline your AI app.

AI got you to a working app. Redline gets you to production. We hunt the performance, security, and UX failures AI ships right past — the N+1 queries, the leaky row-level security, the fifty requests it takes to open one modal — and hand you a scored report with a prioritized fix list.

Book a Redline Audit
The Blind Spot

AI writes code that runs.
It doesn't feel the 50 requests.

AI coding tools have made it easy for anyone to ship an app. They're genuinely good at syntax, patterns, and getting to a working demo. But they're blind to a whole class of failures that only a skilled engineer catches — the ones that surface at scale, in production, or in a security review. We saw one AI-built task view fire fifty-plus requests just to open a single modal. It worked fine on ten rows. It fell over on ten thousand — and quietly ran up the cloud bill the whole time.

What Redline checks

Six dimensions AI can't audit on itself — the full rubric behind every Redline report.

Data & Queries

  • N+1 and waterfall queries
  • Over-fetching & unbounded reads
  • Missing indexes
  • Chatty request patterns

Security & Access

  • Row-level security (RLS) policies
  • Tenant isolation & IDOR
  • Authz vs. authn gaps
  • Secrets & key exposure

Performance & Cost

  • Request & payload counts
  • Re-render storms
  • Caching strategy
  • Egress & compute spend

UX & Accessibility

  • Loading / empty / error states
  • Keyboard & screen-reader access
  • Mobile & responsive behavior
  • Perceived performance

Correctness

  • Race conditions & concurrency
  • Money, timezone & i18n
  • Idempotency & retries
  • Real-world edge cases

Maintainability

  • Architecture & coupling
  • Data model & migrations
  • Test coverage of real paths
  • Documentation & handover
The Process

How Redline works

1

Scope

You point us at the app, repo, or environment. We agree on scope and success criteria — usually inside a day.

2

Deep Audit

Senior engineers review the code, data layer, and running app against the full Redline rubric — the same one AI can’t run on itself.

3

Scored Report

You get a graded scorecard and a severity-ranked findings list: what’s broken, why it matters, and exactly how to fix it.

4

Remediate

We hand it back for your team to fix — or fix the criticals ourselves, and review every future release on retainer.

Ways to engage

Start with a one-time audit, or make senior review a standing part of every release.

Redline Snapshot

Fixed-fee, one-time audit

  • Full rubric review of one app
  • Graded scorecard (A–F)
  • Severity-ranked fix list
  • Findings walkthrough call
Get Started
Most popular

Redline + Remediation

We find it and fix it

  • Everything in Snapshot
  • We fix the Critical & High findings
  • Before/after verification
  • Hardened, production-ready build
Get Started

Redline Continuous

Every release, reviewed

  • Per-release or monthly review
  • Regression & drift tracking
  • Priority remediation
  • A standing senior-engineer backstop
Get Started
The Deliverable

A report you can act on Monday

No vague "improve performance" hand-waving. Every finding comes with a severity, a concrete failure scenario, and a specific fix — written to hand straight to your developers.

And a single letter grade, so you and your client know exactly how production-ready the app really is.

A–F
Production-readiness grade
P0–P3
Severity-ranked findings
Fix scenario + remediation for every issue
Not just "what" — the "why" and the "how"

Redline Questions

What kinds of apps can you Redline?

Anything — internal MSP tools, client-facing apps, PSA integrations, dashboards, and AI features. We commonly review apps built with Supabase, Next.js, React, and low-code / AI builders like Lovable, Bolt, v0, and Replit. We are vendor-neutral and audit apps built by your team, a contractor, or an AI agent.

Do you need our source code?

Ideally yes — a code + running-app review is the most thorough. But we can also run a black-box audit against a deployed environment when source access is not available, focused on behavior, performance, and security surface.

How is this different from AI code review tools?

AI review tools catch what AI is good at — syntax, common patterns, obvious bugs. Redline is the senior-engineer pass that catches what AI systematically misses: N+1 queries that only hurt at scale, subtly wrong row-level security, UX that has no error states, and architecture that will not survive real load. AI writes code that runs; we find the fifty requests it takes to open one modal.

What do we actually receive?

A graded scorecard and a prioritized findings report: each issue with its severity, a concrete failure scenario, and a specific fix. It is written to be handed straight to your developers — or to us, if you would rather we remediate.

How fast is a Redline audit?

A focused Snapshot audit typically turns around in a few business days after scoping, depending on app size. Continuous reviews fit into your release cadence.