Software readiness review for MVPs and AI-built apps

Know what state your software is really in before you spend more money on it.

I review existing apps, MVPs, and AI-built prototypes, then deliver a practical Codebase Triage Report showing what is working, what is risky, and what should be fixed before launch, handoff, or further development.

No call required. Async by default.

Preview of a Codebase Triage Report with readiness status, health scores, and top findings

The problem

Many apps look fine until the next developer, launch, or customer traffic exposes the weak spots.

A working demo can still hide unclear setup, fragile architecture, missing tests, security red flags, deployment assumptions, or code that is difficult to hand over. A Codebase Triage Report gives you a clear, prioritized view before you hire, launch, or keep building.

What this is

A fixed-scope review of an existing software project.

The review looks at the codebase and supporting documentation, then turns the current state of the project into a practical readiness report. The output is a written assessment, not open-ended consulting or implementation work.

Good fit

  • MVPs that work but feel fragile
  • AI-generated apps or prototypes
  • Freelancer-built apps needing independent review
  • Inherited codebases that are hard to understand
  • Projects being prepared for handoff, beta, or launch

Review coverage

What I review

Codebase structure

Project organization, entry points, architecture, maintainability, API/backend boundaries, frontend organization, and data model concerns.

Readiness gaps

Setup instructions, developer experience, testing gaps, dependency/tooling health, documentation quality, and handoff friction.

Risk indicators

Developer-level security red flags, auth/authorization concerns, deployment clues, production readiness, scaling assumptions, and cloud cost risks.

Deliverable

A written report that tells you what matters first.

The report is designed to be useful to the project owner, the next developer, and an AI coding agent that may work on the project later.

Executive summary Readiness assessment Health scores Top findings by severity Quick wins Larger refactors Suggested first 3 PRs AI coding agent tasks Limitations and files inspected

Example findings

The report turns vague concern into concrete next steps.

Missing setup instructions

The app may work on the original developer's machine, but the repository does not clearly document environment variables, database setup, migrations, or test commands.

Why it matters

A new developer or AI coding agent may waste hours trying to run the project.

Inconsistent authorization checks

The app may check whether a user is logged in, but not consistently check whether that user can access or modify a specific resource.

Why it matters

This can create privacy, data access, and security risks before launch.

No tests around critical flows

Important flows such as sign-up, payments, permissions, uploads, or data changes may have little or no regression protection.

Why it matters

Future changes become risky because breakage may only be found after users are affected.

Documentation drift

The repository may contain old setup paths, outdated commands, or conflicting handoff notes.

Why it matters

Developers and AI agents can follow stale instructions and make unsafe assumptions.

Sample report

See what a report looks like

The sample report shows the format, level of detail, and type of recommendations included in a Codebase Triage Report. It uses a fictionalized AI-built SaaS MVP scenario.

Open sample PDF

Includes: client takeaway, readiness scores, top findings, quick wins, first PRs, and AI-agent tasks.

Redacted: no private repo names, customer data, secrets, or internal project details.

Pricing

Standard Codebase Triage Report

Launch discount for early customers

R3,000 / US$200

Regular pricing from R9,500 after the launch window.

Best for MVPs, AI-built prototypes, small SaaS apps, freelancer-built apps, and projects being prepared for handoff or beta launch.

Request a review

Includes

  • Static repository review
  • Documentation and setup review
  • Architecture and maintainability review
  • Testing gap review
  • Security red-flag review
  • Dependency, tooling, and cloud-readiness notes
  • Top findings, quick wins, and suggested first 3 PRs

Process

How it works

  1. 1Submit project context

    Share what the app does, what worries you, and what stage it is at.

  2. 2Share repo access or a zip

    Do not send production credentials, private keys, live API secrets, or customer data.

  3. 3The project is reviewed

    The review follows a bounded scope across setup, architecture, tests, red flags, and readiness.

  4. 4You receive the report

    The written report ranks what matters, what can wait, and the first fixes to prioritize.

Scope boundaries

What this is not

This is a bounded readiness review. It is not a formal penetration test, production security certification, emergency production support, full rewrite, deployment service, open-ended consulting package, or replacement for specialist legal/compliance/security advice.

Safety note

Please do not send production credentials, private keys, live API secrets, or customer data.

FAQ

Common questions

Do you fix the issues you find?

The Codebase Triage Report is a review and prioritization service, not an implementation package. Clear quick wins can be quoted separately after the report.

Is this a security audit?

No. The report includes developer-level security red flags, but it is not a formal penetration test, security certification, or guarantee that all vulnerabilities will be found.

Do we need a call?

No. The process is async by default. The intake form and repository context are usually enough for a fixed-scope review.

What if the app cannot be run locally?

If the project cannot be run from the provided instructions within a reasonable time, the review continues as a static codebase review and setup problems are included as findings.

Can this help with AI-built apps?

Yes. It is especially useful for AI-built prototypes where the app appears to work, but the owner is unsure whether the generated code is maintainable, secure, or safe to keep building on.

Ready before you build further

Find out what is risky, what is working, and what to fix first.

Request a review