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
Every dimension of your codebase — not just whether it runs.
Is the codebase organized for maintainability and scale? We evaluate folder structure, separation of concerns, and architectural patterns.
Authentication, authorization, input validation, data exposure, dependency vulnerabilities, and secrets management.
N+1 queries, missing indexes, inefficient algorithms, unnecessary re-renders, and bundle size issues.
Naming conventions, code duplication, complexity metrics, error handling patterns, and maintainability score.
What's tested, what's not, and what the gaps mean for your risk profile. We assess both coverage percentage and test quality.
Outdated packages, known CVEs, abandoned libraries, and licensing issues in your dependency tree.
If any of these sound familiar, a code audit is the right next step.
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.
You took over a project from a previous developer or agency. Before you build on it, know what you're building on.
Investors and acquirers want to know the technical risk. Our audit gives them (and you) an honest picture.
Before you take on a client's existing codebase, audit it. Know the technical debt you're inheriting.
Founders don't know if AI-generated or outsourced code is safe for real users and payments.
Technical risk must be documented before funding or acquisition conversations.
N+1 queries and missing indexes only appear under real load.
Exposed secrets, weak auth, and outdated dependencies are common in rushed builds.
Two senior engineers review independently across architecture, security, performance, quality, tests, and dependencies.
We've hardened Lovable, Cursor, and Bolt codebases — we know where AI tools cut corners.
Severity-rated findings with file references and fix order — not vague PDFs.
Walk through every finding on a call; leave knowing what to fix first.
NDA before access; no code retention beyond audit period unless you request ongoing support.
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.”
At-a-glance scope, pricing tiers, delivery timelines, engineering tradeoffs, and decision criteria for technical founders and product leaders.
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.
Pricing depends on scope, integrations, and timeline. GreeLogix provides transparent fixed-milestone quotes after discovery, with flexible models for one-off audits, sprint retainers, or dedicated engineers.
Need to model sprint hours and coverage? Use our QA estimation calculator.
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).
Compare delivery models, cost profiles, and engineering tradeoffs before committing resources.
| Option / Approach | Best When | Primary Tradeoff / Risk | Recommended Fit |
|---|---|---|---|
| Developer-only testing | Early prototype with no paying users yet | Developers tend to test happy paths; misses subtle regression side effects, UX edge cases, and cross-browser quirks. | Early pre-revenue prototypes |
| Crowdtesting platforms | One-off device coverage without domain context | Fragmented bug reports without codebase context, inconsistent reproducibility, and zero sprint continuity. | One-off device compatibility checks |
| Automated scanning only | Known stack with mature CI; catches syntax not workflow bugs | Catches syntax and linting issues but remains completely blind to workflow breakdowns and complex business logic errors. | Baseline CI static analysis |
| GreeLogix Pod | You need production release confidence, automated regression suites, and senior QA engineers embedded in your sprint. | Requires active product owner for weekly sprint reviews and scope alignment. | Production & Scaling (Recommended) |
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
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.
Answers to the buyer questions we hear most before a project starts.
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.
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.
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.
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.
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.
You share repo access (read-only). We sign an NDA before reviewing any code.
Two senior engineers review the codebase independently across all six dimensions.
Severity-rated findings with specific examples from your code and actionable fix recommendations.
We walk through every finding on a call. You leave knowing exactly what to fix and in what order.
Share your repo details and we'll scope the audit. Most projects start within 48 hours. From $500, delivered in 5 business days.
Validate AI-generated code, ship with confidence, and catch issues before launch.
Use our free calculators and planners — then book a strategy call when you are ready for a senior engineer review.
Case studies, guides, and free tools from the same engineering team.
Every type of testing your product needs — from manual audits to AI-app hardening and accessibility compliance.
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.
You'll talk to Abuzer — the senior engineer who'll scope your build
Founder & Senior Engineer · Response within 4 business hours
Book a Free 30-Min CallResponse within 4 business hours · No commitment on first call