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Code Analysis

20.04.2026

Outsourced Code Analysis Document

Technical Review Checklist and Delivery Format

1. Purpose of the Analysis

The purpose of this study is not only to evaluate whether the outsourced code works, but also to assess whether it is technically inheritable, safe to run in a production environment, and scalable for the next 6-12 months.

At the end of the review, risks, deficiencies, technical debts, priority actions, and a clear decision recommendation must be identified.

2. Review Checklist

2.1 Code Quality

  • Is the code readable and maintainable?
  • Are naming conventions, file structure, and function separations clear?
  • Is there unnecessary repetitive code, unused files/packages, or dead comments?
  • Are functions too long, complex, or far from the single responsibility principle?
  • Is error handling properly implemented?
  • Are there hardcoded values, URLs, API keys, tokens, passwords, etc.?
  • Are linters, formatters, and coding standards utilized?

2.2 Security

  • Are sensitive details like API keys, tokens, and passwords embedded in the code?
  • Are authentication and authorization correctly structured?
  • Are user roles and access controls secure?
  • Is input validation sufficient?
  • Are there precautions against vulnerabilities like SQL injection, XSS, and CSRF?
  • Are file uploads, webhooks, and external service calls secure?
  • Do error messages leak sensitive information?
  • Are there known vulnerabilities in dependency packages?

2.3 Code Map / Architecture

  • Is the project folder structure logical?
  • Are layers such as controller, service, repository, and model clearly separated?
  • Is the business logic in the correct place, or is it scattered across different layers?
  • Are inter-module dependencies too high?
  • Are the main flows understandable and documentable?
  • A code map of critical flows should be mapped out: login/register, user operations, admin operations, payment/checkout, file upload, notification/email/SMS, third-party integrations.

2.4 Logging and Observability

  • Are there sufficient logs for critical operations?
  • Are error logs meaningful?
  • Are log levels used correctly? (info, warn, error, etc.)
  • Are sensitive details like passwords, tokens, or personal data written in the logs?
  • Are debug logs enabled in the production environment?
  • Is there a centralized logging, monitoring, or Sentry-like structure?
  • Can request/response cycles or user actions be tracked?

2.5 Scalability / Growth

  • Is the code suitable for adding new features?
  • Is the structure modular, or is everything tightly coupled?
  • Is the config/env structure properly managed?
  • Has the need for caching, queues, or background jobs been considered?
  • Will database queries cause issues as the data grows?
  • Are mechanisms like pagination, rate limiting, and timeouts in place?
  • As the project grows, will the file and module structure remain manageable?
  • Is the structure suitable for writing tests?

2.6 Database

  • Are the table structures and relationships correct?
  • Are indexes sufficient?
  • Is there a migration structure?
  • Are transactions used where necessary?
  • Are there N+1 queries or unnecessarily large queries?
  • Are deletion operations soft deletes or hard deletes?
  • Is there a risky structure regarding backup/restore procedures?

2.7 API and Integrations

  • Is the endpoint structure standard and consistent?
  • Are response formats consistent?
  • Are HTTP status codes used correctly?
  • Is there API documentation? (Swagger/Postman, etc.)
  • Are there rate limiting, timeout, and retry mechanisms?
  • Is error handling for third-party services managed correctly?
  • Is secret/config management secure within integrations?

2.8 Installation and Executability

  • Can the project be set up from scratch?
  • Is the README or setup documentation sufficient?
  • Is the separation between local, stage, and prod environments clear?
  • Are there missing env/config/service dependencies?
  • Are there setup facilitators like Docker available?
  • How long would it take a new developer to get the project running?

2.9 Testing and Deployment

  • Are there unit, integration, or e2e tests?
  • Are critical flows tested?
  • Is there a CI/CD pipeline?
  • Is the deployment process documented?
  • Is rollback possible?
  • Is the separation of secrets/configs handled properly during the build?
  • What are the points considered risky before deploying to production?

2.10 Dependency / Package Health

  • Are the utilized packages up to date?
  • Are there old, abandoned, or risky packages?
  • Are there packages that could cause licensing issues?
  • Are versions locked? (package-lock.json, yarn.lock, composer.lock, poetry.lock, etc.)
  • Can a security scan be performed?

2.11 Adoptability Analysis

  • Can the internal team comfortably take over this code?
  • How many days will it take for a new developer to adapt to the project?
  • Are there complex, ambiguous, or single-person-dependent areas in the code?
  • Is the level of documentation sufficient?
  • Which modules are risky or difficult to adopt?

3. Critical Flows to be Specifically Examined During the Analysis

  • User registration and login flow
  • Password reset / account verification flow
  • Admin panel and authorization controls
  • User CRUD operations
  • Payment/checkout or subscription flows (if any)
  • File upload and file access flows (if any)
  • Email, SMS, push notification flows
  • Third-party API and webhook integrations
  • Background job, queue, or cron processes (if any)

4. Report Format to be Delivered

At the end of the analysis, a clear and actionable report containing the following headings is expected:

  • Overall code quality score: 1-10
  • Security risks and critical vulnerabilities
  • Critical bugs or logic errors
  • Technical debt list
  • Risky file/module list
  • Code architecture map
  • Missing logging points
  • Scalability/growth risks
  • Dependency/package risks
  • Is it ready for production or not?
  • Can the internal team take over this code?
  • Estimated adaptation time for a new developer
  • Top 10 priority items to be fixed
  • Estimated refactor effort: based on hours/days

5. Final Decision Expectation

At the end of the report, a technical decision must be clearly stated. The decision options should be as follows:

  • Continue with this code.
  • Continue by refactoring.
  • Rewrite critical modules.
  • A complete rewrite makes more sense.

The final evaluation must answer this question: Is this code technically inheritable, secure, and scalable? The justification for the decision should be written briefly and clearly.

6. Brief Evaluation Table

Category Status Risk Note / Action
Code Quality Good / Fair / Poor Low / Medium / High
Security Good / Fair / Poor Low / Medium / High
Architecture Good / Fair / Poor Low / Medium / High
Logging Good / Fair / Poor Low / Medium / High
Database Good / Fair / Poor Low / Medium / High
API/Integration Good / Fair / Poor Low / Medium / High
Testing/Deployment Good / Fair / Poor Low / Medium / High
Adoptability Good / Fair / Poor Low / Medium / High