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DL-AUD-00 · Audit / Diagnostics

Code audit services for commerce systems

Independent audits of the systems your marketplace business runs on: marketplace and ERP integrations, AI-built apps, acquisition targets. You get findings ranked by business risk, not a generic checklist.

51.4344.0060°01AUDITDETAIL 01 · AUDIT · DL-AUD-00

When to commission code audit services

  1. 1.

    The integration is years old and its original developers are gone

  2. 2.

    An app built with AI tools now holds real orders and customer data

  3. 3.

    An acquisition or investment depends on code nobody has read

  4. 4.

    Marketplace API calls, throttling or fees keep rising and nobody can say why

A typical commerce application mapped module by module: web app, API layer, auth, background jobs, marketplace API client, database and secrets, with weak dependencies flagged and the audit reading the system from outside.SYSTEM UNDER AUDITbypassableretry stormshardcodedread-onlyWEB APPUI / adminAPI LAYERbusiness logicAUTHchecked in UI onlyJOBScron / queueAPI CLIENTno backoffMARKETPLACE APIexternalSECRETSkeys in repoDATABASEorders / PIIAUDITfindings by risk
  1. 01WEB APPUI / adminAPI LAYERbusiness logic
  2. 02API LAYERbusiness logicAUTHchecked in UI onlybypassable
  3. 03API LAYERbusiness logicDATABASEorders / PII
  4. 04API LAYERbusiness logicJOBScron / queue
  5. 05JOBScron / queueAPI CLIENTno backoff
  6. 06API CLIENTno backoffMARKETPLACE APIexternalretry storms
  7. 07SECRETSkeys in repoAPI CLIENTno backoffhardcoded
  8. 08JOBScron / queueDATABASEorders / PII
  9. 09DATABASEorders / PIIAUDITfindings by riskread-only
  10. 10SECRETSkeys in repoAUDITfindings by risk
Fig. 01Dependency map under auditA typical commerce application mapped module by module: web app, API layer, auth, background jobs, marketplace API client, database and secrets, with weak dependencies flagged and the audit reading the system from outside.Scale NTS

Detailed services.

Any of them is also available as hours with a senior engineer, when you need a second opinion rather than a project.

What the engagement covers.

  1. 01

    Code and architecture audit

    Inherited, outsourced or AI-built code mapped and ranked by risk; also as technical due diligence before you buy or invest.

  2. 02

    AI adoption assessment

    Where AI and automation pay off in your operations, scored and costed into a roadmap.

  3. 03

    SP-API health check

    Call volume, fees, rate limits, credentials and upcoming Amazon deprecations, with a ranked fix list.

  4. 04

    Senior engineer hours

    Any of these as hours with a senior engineer, when you need a second opinion rather than a project.

How it runs.

  1. P01

    Access

    Read-only access to repositories, infrastructure configuration and API logs.

  2. P02

    Map

    Modules, data paths and dependencies, drawn as they are, not as documented.

  3. P03

    Probe

    Auth, secrets, data handling, rate limits and failure paths tested against the code.

  4. P04

    Rank

    Findings ordered by risk to the business and effort to fix.

  5. P05

    Brief

    Walkthrough with engineers and decision-makers; the report stays yours.

What you get.

ItemDeliverableQty

  1. 01Architecture and dependency map of the system as built1
  2. 02Risk-ranked findings with evidence and code references1
  3. 03Remediation plan with effort estimates1
  4. 04Executive summary for non-technical decision-makers1

Stack10

  • Amazon SP-API
  • Amazon Ads API
  • Walmart Marketplace API
  • Shopify API
  • Node.js
  • TypeScript
  • Python
  • Ruby
  • AWS
  • PostgreSQL

Related projects.

  1. DL-043Amazon and Walmart API architecture review for an eCommerce SaaSName withheld · Singapore01Audit02Stabilize
  2. DL-056Cross-border API architecture for an Amazon and Walmart US sellerName withheld · Argentina01Audit02Stabilize
  3. DL-001Amazon SP-API optimization for an agencyVaso Group · USA01Audit02Stabilize
  4. DL-014Order automation for an Amazon seller with custom printing productsWraplab · France03Build
  5. DL-006Adapter for Amazon SP-API authenticationOrion · USA03Build04Secure
All case studies

Questions engineers ask us.

Q01What does a code audit cover?

Architecture, dependencies, security basics (auth, secrets, data handling), integration behaviour under load and failure, tests and deployment. Scope follows the decision the audit has to inform.

Q02How is this different from an Amazon SP-API audit?

Here we audit your system for you. An Amazon SP-API audit is Amazon reviewing you; for that, see our Amazon SP-API audit support.

Q03Can you audit an app built with AI coding tools?

Yes. AI-generated code tends to work on the happy path and skip the rest. We check what the generator left out: access control, secrets, error handling, data retention.

Q04Do you need write access to our systems?

No. Read-only access to the repository, infrastructure configuration and logs is enough for an audit.

Q05Do we have to fix the findings with you?

No. The report is written so your team or another partner can act on it. We can implement fixes if you want.

Related services.

Know the system before you bet on it

Tell us what the audit has to decide and which systems are in scope. We reply with a plan and a timeline.

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