Strength 03 · Code Risk & Launch Readiness

Vibe-Code & AI-Built MVP Launch Review.

Audit, repair, secure, test and productionize AI-generated codebases. For founders who shipped fast with Cursor, Lovable, Bolt, Replit, Claude or Codex and now need to know what actually breaks before real users or an investor's technical diligence finds it.

5-10d
Audit turnaround
100%
Reviewed by Mohit
Full
Written risk report
0
Sales theatre
Request A Code Review See How It Works

The Review

What The Review Actually Checks.

AI-generated code is usually well-formatted and confidently wrong in the places that matter: authentication, data integrity, secrets, and anything that has to survive a second concurrent user. The review looks there first.

01

Security & Access

Auth flows, exposed secrets, injection surfaces, permission checks and endpoints that are public when nobody meant them to be.

02

Data Integrity

Schema, migrations, transactions, race conditions and what actually happens when a write fails halfway through.

03

Architecture & Debt

Coupling, duplicated logic, dead code, and which modules are cheaper to rewrite than to keep repairing.

04

Production Readiness

Tests, error handling, logging, environments, deployment and cost exposure at realistic load.

The Shift

From Hoping It Holds To Knowing It Does.

These four situations account for most of the founders who book this review, and what they walk away with.

Where teams are today
Where this puts them
The app works in the demo and nobody knows what happens under real usage.
A written, prioritised risk report - severity, impact and what it costs to fix.
Secrets, keys or admin endpoints sit exposed in code an AI generated in one pass.
Critical security and data-integrity issues repaired, not just listed on a slide.
No tests, so every fix risks silently breaking something that used to work.
A test and deployment baseline so the next change is safe to make.
An investor or enterprise client is about to ask for technical diligence.
A clear repair-versus-rewrite verdict, per module, with reasoning you can act on.

What You Get

What Lands In Your Inbox.

The audit is a standalone engagement. The repair sprint is optional, and most founders take it for the critical findings.

01

Security Audit

Authentication, authorization, secret handling, injection surfaces and publicly reachable endpoints.

Auth Secrets Endpoints
02

Data & Integrity Review

Schema design, migrations, transactional safety and concurrency behaviour under real usage.

Schema Transactions Concurrency
03

Repair & Hardening

Critical findings fixed in place, with the reasoning documented so your team learns the pattern.

Fixes applied Documented Prioritised
04

Test & CI Baseline

A working test suite and deployment pipeline so future changes are verifiable instead of hopeful.

Tests CI/CD Environments
05

Repair Or Rewrite Verdict

Module-by-module judgement on what to keep, what to refactor and what to throw away now rather than later.

Per module Cost attached Honest
06

Diligence Pack

Architecture diagrams and written answers ready for investor or enterprise technical due diligence.

Investor ready Diagrams Q&A
Shipped · From The Field

A founder launched an AI-built marketplace MVP to early users. The review found exposed admin routes, an unguarded payment webhook and no transactional integrity on orders. Critical issues were repaired and a test baseline was in place before the enterprise pilot began.

Static & Manual Review Dependency Audit Test Harness CI Pipeline
23
Issues found
6
Critical severity
8d
Audit to fixes
1
Pilot saved

Engagement

Ten Working Days, End To End.

The optional repair sprint starts the moment you have read the report and picked what to fix.

Days 1-2

Intake

Repository access, environment walkthrough and what the product is meant to do.

Days 3-6

Deep Review

Security, data, architecture and production-readiness inspection with findings logged.

Days 7-8

Report

Prioritised written risk report with severity, impact and remediation cost.

Optional

Repair Sprint

Critical fixes applied, test baseline established, deployment hardened.

Straight Answers

What Founders Want To Know.

Which AI coding tools do you review code from?

Cursor, Lovable, Bolt, Replit, Claude, Codex, Copilot and anything else that produced the repository. The tool matters less than the failure patterns, which are remarkably consistent across all of them.

Will you tell me to rewrite everything?

Rarely. Most AI-built MVPs have a solid, salvageable core and a handful of genuinely dangerous modules. The report says which is which, per module, with the cost of each path attached.

Do you fix the issues or only report them?

Either. The audit is a standalone engagement ending in a written report. The repair sprint is optional, and most founders take it for the critical findings.

Is this useful before investor due diligence?

That is one of the most common reasons founders book it. You want the problems found by someone on your side, with time to fix them, rather than by an investor's technical reviewer.

Keep Looking

The Other Three Strengths.

01 AI Workflow Automation / Agentic Ops Business process automation and process compression across nine business functions. View 02 AI-Native Product Engineering AI-first SaaS, copilots, RAG systems, browser and WhatsApp agents, dashboards and apps. View 04 AI Enablement Retainers Recurring adoption, process redesign, training, governance, evals and improvement. View

Find the Problems Before Your Users Do.

Give me repository access and a short walkthrough of what the product is meant to do. You get back a prioritised written risk report - severity, impact, and what each fix costs - reviewed personally, not by a junior with a scanner.

Request A Code Review Email Mohit Directly

Typical response time: under 24 hours · Founder-to-founder, no account managers