There are a few moments when a founder needs an honest, outside view of their product's technology: before raising money, before hiring a first in-house developer, when an agency or freelancer hands the code over, when the product keeps breaking, or when someone proposes rewriting everything. A technical audit answers three questions: what do we actually have, what are the real risks, and what should we do first?
Here is what a useful audit covers, and what you should expect to receive at the end. You can also use it as a self-check.
1. Ownership and access
This sounds basic, and it is where the most serious problems often hide. Confirm that the company, not an individual or an agency, owns and can access:
- The source code repositories, with full history.
- The domain registrar and DNS.
- Hosting and cloud accounts, including billing.
- App Store and Google Play developer accounts.
- Email sending, payment, analytics and other third-party services.
- Every production secret: API keys, database passwords, signing keys.
If one person leaving would lock you out of any of these, fix that first. Losing access to an app's signing key or the domain can be far more expensive than any code problem.
2. Architecture
The goal is not to judge whether the architecture is fashionable, but whether it fits the product and the team.
- Can someone draw how the pieces fit together: frontend, backend, database, background jobs, third-party services?
- Is the complexity proportional to the problem? A small product split into many microservices is often harder to run than a well-organized monolith.
- Where are the single points of failure, and are they acceptable for this stage?
- Is the stack mainstream enough to hire for? Frameworks like Next.js, React, React Native, .NET Core and Postgres have large talent pools; an obscure or abandoned framework is a hiring risk.
3. Code quality and maintainability
Reviewers should read real code, not just run a linter:
- Is the structure consistent, or does each feature look like a different person wrote it in a hurry?
- Are there automated tests around the parts that handle money, permissions and core workflows?
- Are dependencies reasonably up to date, and are any unmaintained or carrying known vulnerabilities?
- Is there a README that gets a new developer from clone to a running app?
- Are there signs of copy-paste, dead code or large files nobody dares touch?
Code that is imperfect but understandable and tested is usually fine. Code that only one person can change safely is a business risk.
4. Security
A practical security review for a typical product looks at:
- Authentication and authorization: is every API endpoint checking not just that a user is logged in, but that they are allowed to access that specific record? Broken object-level authorization, where changing an ID in a request returns another customer's data, is one of the most common serious flaws in web and mobile APIs.
- Secrets: none committed to the repository, including in old history; production secrets separate from development.
- Input handling: protection against SQL injection, cross-site scripting and unsafe file uploads.
- Transport and headers: HTTPS everywhere, secure cookies, sensible security headers.
- Exposed services: databases, admin panels and internal tools not reachable from the internet.
- Dependencies: known vulnerabilities in libraries and container images.
- Personal data: what is stored, who can see it, and whether it is needed.
5. Infrastructure and operations
- How is the product deployed? A repeatable CI/CD pipeline, or someone copying files over by hand?
- Can you roll back a bad release quickly?
- Are servers patched, and is access restricted to SSH keys for the people who need it?
- Is the setup reproducible, with configuration in code or documented, or would a dead server mean days of guesswork?
- Is there monitoring and alerting, and does it reach a person?
- Are staging and production separate?
6. Data and backups
- Are database backups automated, stored off the server, and encrypted?
- When was the last time someone restored one and checked it?
- How much data could you lose, and how long would recovery take? Get actual numbers, not "we have backups".
- Are database migrations versioned and applied the same way in every environment?
- Is data that should be deleted actually deleted?
7. Performance and scalability
Avoid both extremes: rebuilding for millions of users you do not have, or ignoring obvious bottlenecks.
- What are page load and API response times for the most-used screens?
- Are there slow database queries or missing indexes? This is the most common and cheapest performance fix.
- What breaks first if usage grows several times over? A simple load test answers this better than opinions.
8. Costs
Review every recurring technical cost: hosting, databases, third-party APIs, paid tools and licenses. Look for unused resources, over-provisioned servers, and services that grow expensive with usage, like AI APIs or email and SMS sending. Cost surprises are rarely about the big line items; they come from things nobody is watching.
9. Process and team
- Is there code review, even lightweight?
- How are bugs and features tracked?
- How long does it take from a finished change to it being live?
- Is knowledge written down, or held in one person's head?
What you should get at the end
A good audit produces a short, prioritized report, not a hundred-page document. At minimum:
- A summary in plain language for non-technical founders and investors.
- Critical issues to fix immediately, typically security holes, missing backups and access risks.
- Important issues for the next few months, with rough effort estimates.
- Things that are fine, so you do not waste money fixing what works.
- A clear recommendation on the big question you came with: keep building on this, refactor specific parts, or rebuild.
That last point deserves caution. Full rewrites are usually slower and riskier than they look, because the existing system contains years of small decisions and edge cases. Most of the time, targeted fixes to security, deployment and the worst parts of the code deliver more value sooner.
Doing it yourself first
If you want to start before bringing anyone in, go through sections 1, 4 and 6 above: ownership, security basics and backups. Those three cover the problems that can genuinely sink a small company, and none require deep technical knowledge to check.
Architecture reviews, infrastructure and DevOps audits and CTO-style guidance are part of what I do alongside building products end to end, like the ones in my work such as Pro Clean+ and NeonTask. If you need an independent view of your product's technology, get in touch.