Code Review & Technical Audit

Know Exactly What You're Shipping

Whether you built it with AI tools, inherited it from a previous team, or need to validate it before raising a round — our senior engineers review your codebase and tell you exactly what's solid, what's risky, and what needs fixing.

From $500 · 5-day delivery · Two senior reviewers · 60-min debrief included

30 minutes · Senior engineer · No commitment

Upwork Top Rated Plus
Fiverr Level 2 · 5.0★
Clutch Verified Provider
150+ projects delivered
20+ Play Store apps
$500
Starting Price
5 days
Delivery
60min
Debrief Call Included
Senior
Engineers Only

What We Review

Every dimension of your codebase — not just whether it runs.

Architecture & Structure

Is the codebase organized for maintainability and scale? We evaluate folder structure, separation of concerns, and architectural patterns.

Security Review

Authentication, authorization, input validation, data exposure, dependency vulnerabilities, and secrets management.

Performance Analysis

N+1 queries, missing indexes, inefficient algorithms, unnecessary re-renders, and bundle size issues.

Code Quality

Naming conventions, code duplication, complexity metrics, error handling patterns, and maintainability score.

Test Coverage

What's tested, what's not, and what the gaps mean for your risk profile. We assess both coverage percentage and test quality.

Dependency Audit

Outdated packages, known CVEs, abandoned libraries, and licensing issues in your dependency tree.

Who Needs This

If any of these sound familiar, a code audit is the right next step.

Vibe Coders Before Launch

Pre-Launch
Timing

You built your app with Lovable, Cursor, or Bolt and you're about to put real users on it. Know what you're shipping before they find out.

Inherited Codebases

Full
Codebase Review

You took over a project from a previous developer or agency. Before you build on it, know what you're building on.

Pre-Investment Due Diligence

Investor
Ready Report

Investors and acquirers want to know the technical risk. Our audit gives them (and you) an honest picture.

Agencies Auditing Client Work

Risk
Assessment

Before you take on a client's existing codebase, audit it. Know the technical debt you're inheriting.

Common Challenges

Problems We Help Buyers Solve

Pre-launch uncertainty

Founders don't know if AI-generated or outsourced code is safe for real users and payments.

Investor diligence

Technical risk must be documented before funding or acquisition conversations.

Performance cliffs

N+1 queries and missing indexes only appear under real load.

Security gaps

Exposed secrets, weak auth, and outdated dependencies are common in rushed builds.

Why GreeLogix

Why Teams Choose GreeLogix

Senior engineer review

Two senior engineers review independently across architecture, security, performance, quality, tests, and dependencies.

AI-code experience

We've hardened Lovable, Cursor, and Bolt codebases — we know where AI tools cut corners.

Actionable reports

Severity-rated findings with file references and fix order — not vague PDFs.

60-minute debrief

Walk through every finding on a call; leave knowing what to fix first.

Typical Timeline

What to Expect Week by Week

Access & NDA

Day 1
  • ·Read-only repo access
  • ·Scope confirmation

Independent review

Days 2–4
  • ·Architecture pass
  • ·Security pass
  • ·Performance pass

Report delivery

Day 5
  • ·Written report
  • ·Severity matrix
  • ·Fix recommendations

Debrief call

Day 5–7
  • ·60-min engineer walkthrough
  • ·Optional fix engagement quote
Technologies

Stack & Architecture

LaravelReactNode.jsFlutterPostgreSQLAWSDockerStatic analysisDependency CVE scans

Industries Served

  • Startups
  • Agencies inheriting client code
  • SaaS
  • AI-generated products

Security & Compliance Considerations

Confidential handling

NDA before access; no code retention beyond audit period unless you request ongoing support.

Responsible disclosure

Critical findings flagged immediately if active exploitation risk exists.

What a 70-engineer team could not deliver, a small senior team at GreeLogix shipped. The app went from stuck to live across mobile, web, and backend.

MTS EdTech platform rescue — verified case study
Quick answers

Code Review & Technical Audit: Key Facts

Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.

What is it?
Software QA and technical audit services cover manual and automated testing, performance and security checks, and senior engineer code review — especially for AI-generated or inherited codebases before production launch.
Who is it for?
Teams shipping Lovable, Cursor, or Bolt prototypes to real users Founders facing investor technical diligence Products with regressions every sprint and no test automation Mobile apps needing device-matrix testing before store release
Who should not use it?
Static marketing site with no auth or payments You cannot provide staging access or test accounts You expect QA to define product requirements
How much does it cost?
Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.
How long does it take?
Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days. Phases: Access & NDA (Day 1); Independent review (Days 2–4); Report delivery (Day 5); Debrief call (Day 5–7).
How does it compare?
Compared to alternatives — Developer-only testing: choose when Early prototype with no paying users yet; Crowdtesting platforms: choose when One-off device coverage without domain context; Automated scanning only: choose when Known stack with mature CI; catches syntax not workflow bugs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
When should you choose it?
You ship at least monthly and regressions hurt revenue or trust You inherited or AI-generated code without senior review You need an independent sign-off before fundraising or launch Catch permission and payment bugs before customers do Documented release checklist for repeatable shipping
Buyer Guide

What You Need to Know

Structured answers for founders, CTOs, and procurement — written for clarity in search and AI assistants.

What is it?

Software QA and technical audit services cover manual and automated testing, performance and security checks, and senior engineer code review — especially for AI-generated or inherited codebases before production launch.

Who needs it?

  • ·Teams shipping Lovable, Cursor, or Bolt prototypes to real users
  • ·Founders facing investor technical diligence
  • ·Products with regressions every sprint and no test automation
  • ·Mobile apps needing device-matrix testing before store release

Why GreeLogix?

  • Dedicated QA for AI-generated apps — we know where vibe coding cuts corners
  • Full practice: Cypress/Playwright, API (Postman), performance (k6), security
  • Code review from engineers who build Laravel, React, and Flutter daily
  • Free AI audit quiz as a low-friction entry to a senior debrief

How it works

  1. 1.Test strategy: risk map, environments, and release criteria
  2. 2.Execution: test cases, bug reports with repro steps, regression suites
  3. 3.Automation wired into CI where ROI is clear
  4. 4.Release sign-off report with go/no-go recommendation

Typical timeline: Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days.

How much does it cost?

Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.

Cost factors

  • ·App complexity and number of platforms (web, iOS, Android)
  • ·Automation scope vs manual-only
  • ·Security or penetration testing depth
  • ·Whether you need embedded QA or per-release engagement

How long does it take?

Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days. Phases: Access & NDA (Day 1); Independent review (Days 2–4); Report delivery (Day 5); Debrief call (Day 5–7).

How does it compare?

Compared to alternatives — Developer-only testing: choose when Early prototype with no paying users yet; Crowdtesting platforms: choose when One-off device coverage without domain context; Automated scanning only: choose when Known stack with mature CI; catches syntax not workflow bugs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.

  • Developer-only testing — choose when Early prototype with no paying users yet
  • Crowdtesting platforms — choose when One-off device coverage without domain context
  • Automated scanning only — choose when Known stack with mature CI; catches syntax not workflow bugs

When should you choose it?

  • You ship at least monthly and regressions hurt revenue or trust
  • You inherited or AI-generated code without senior review
  • You need an independent sign-off before fundraising or launch

Who should not use it?

  • ·Static marketing site with no auth or payments
  • ·You cannot provide staging access or test accounts
  • ·You expect QA to define product requirements

Benefits

  • Catch permission and payment bugs before customers do
  • Documented release checklist for repeatable shipping
  • Investor-ready technical risk summary

Risks to plan for

  • QA without product context files shallow tickets
  • Testing only happy paths misses edge cases in billing and roles
  • Delaying QA until launch week maximizes fix cost
Decision framework

When to Choose Code Review & Technical Audit

Pros / benefits

  • +Catch permission and payment bugs before customers do
  • +Documented release checklist for repeatable shipping
  • +Investor-ready technical risk summary

Cons / risks

  • QA without product context files shallow tickets
  • Testing only happy paths misses edge cases in billing and roles
  • Delaying QA until launch week maximizes fix cost

Choose GreeLogix when

  • You ship at least monthly and regressions hurt revenue or trust
  • You inherited or AI-generated code without senior review
  • You need an independent sign-off before fundraising or launch

Implementation steps

  1. 1.Test strategy: risk map, environments, and release criteria
  2. 2.Execution: test cases, bug reports with repro steps, regression suites
  3. 3.Automation wired into CI where ROI is clear
  4. 4.Release sign-off report with go/no-go recommendation

Get a Clear Plan for Code Review & Technical Audit

Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.

What a GreeLogix Technical Audit Covers

Our code review is not a linter report. Two senior engineers independently evaluate architecture, security, performance, maintainability, test coverage, and dependencies — then reconcile findings into one severity-ranked document with examples from your repo.

Founders use our audits before launch, before hiring a larger dev team, and before investor diligence. Agencies use us to understand client code they're about to extend. The output is written for decision-makers: what to fix now, what can wait, and what would block scale.

  • Architecture & module boundaries
  • Auth, secrets & OWASP risks
  • Query performance & N+1 patterns
  • Test gaps & CI readiness
  • CVE scan on dependencies
  • AI-generated code anti-patterns

Frequently Asked Questions

Answers to the buyer questions we hear most before a project starts.

What is a technical code audit?
A technical code audit is a systematic review of your codebase by senior engineers. We evaluate architecture, security, performance, code quality, test coverage, and dependency vulnerabilities — then deliver a written report with severity-rated findings and specific fix recommendations.
How long does a code audit take?
Most audits are delivered within 5 business days. Larger codebases (100k+ lines) may take 7–10 days. We scope the timeline during our initial call.
Is this useful for AI-generated code?
Especially so. AI tools like Lovable, Cursor, and Bolt generate functional code quickly, but they don't apply architectural best practices, security hardening, or performance optimization. A code audit tells you exactly what's solid and what needs fixing before you scale.
What happens after the audit?
You receive the written report plus a 60-minute debrief call where we walk through every finding. Many clients then engage us for a fix sprint or QA retainer to address the issues we identified.
Can this be used for investor due diligence?
Yes. Our technical audit report is structured to support pre-investment technical due diligence. It gives investors and acquirers an honest assessment of the codebase's quality, risks, and technical debt.

Our Process

01

Codebase Access

You share repo access (read-only). We sign an NDA before reviewing any code.

02

Senior Engineer Review

Two senior engineers review the codebase independently across all six dimensions.

03

Written Report

Severity-rated findings with specific examples from your code and actionable fix recommendations.

04

60-Minute Debrief

We walk through every finding on a call. You leave knowing exactly what to fix and in what order.

Request Your Code Audit

Share your repo details and we'll scope the audit. Most projects start within 48 hours. From $500, delivered in 5 business days.

Resources

Continue Your Research

Case studies, guides, and free tools from the same engineering team.

All resources
QA & Testing Services

Explore Our Full QA Suite

Every type of testing your product needs — from manual audits to AI-app hardening and accessibility compliance.

Next step

Get a Senior Engineer's Take in 30 Minutes

Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.

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