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    Technical Due Diligence Checklist

    Run yourself through the same checkpoints investors review before funding — architecture, code quality, security, dependencies, IP, team risk, and AI-generated code. See your readiness score and exactly what to fix.

    Readiness score
    0%

    0 of 22 checkpoints ready. Early stage — use the gaps below to build a plan before technical DD.

    Architecture & Scalability

    0/5

    Code Quality & Test Coverage

    0/4

    Security & Data Protection

    0/4

    Dependencies, Licenses & IP

    0/4

    Team & Key-Person Risk

    0/3

    AI-Generated Code Process

    0/2
    Gaps to fix
    • Architecture & ScalabilityThe system has a clear separation between frontend, backend/API, and data layer.
    • Architecture & ScalabilityThe architecture can support the roadmap you pitch investors (adds users, features, or platforms without a rewrite).
    • Architecture & ScalabilityThere is a written architecture document describing the system, data model, and key decisions.
    • Architecture & ScalabilityThe data model is designed to grow — no single bottleneck you know will break under load.
    • Architecture & ScalabilityThird-party services (auth, payments, storage) are replaceable, not baked into every layer.
    • Code Quality & Test CoverageThe critical path — payments, auth, and the core algorithm — has automated tests.
    • Code Quality & Test CoverageA new engineer could become productive without a full rewrite (readable, consistent code).
    • Code Quality & Test CoverageThe codebase has no obvious leftover scaffolding or prototype shortcuts in production.
    • Code Quality & Test CoverageDeployments are automated, reproducible, and rollback-able.
    • Security & Data ProtectionNo secrets, API keys, or credentials are committed to the repository or visible in git history.
    • Security & Data ProtectionSensitive data is encrypted at rest, and auth/authorization rules are enforced server-side.
    • Security & Data ProtectionThere is a documented process for handling user data and complying with privacy obligations.
    • Security & Data ProtectionYou know who has access to production systems, and access is removable.
    • Dependencies, Licenses & IPSecurity scans (npm audit, pip-audit, Dependabot, Snyk) run regularly and criticals are fixed.
    • Dependencies, Licenses & IPThe dependency tree is reviewed and there are no known critical vulnerabilities in production.
    • Dependencies, Licenses & IPThe startup owns all the code — IP assignment exists for every employee, contractor, and contributor.
    • Dependencies, Licenses & IPThird-party code is licensed correctly and no restrictive licenses conflict with the business model.
    • Team & Key-Person RiskNo single person is the only one who understands the system — knowledge is shared and documented.
    • Team & Key-Person RiskThere is onboarding documentation so a new engineer can ramp up.
    • Team & Key-Person RiskThe business does not depend on a critical employee you could not replace.
    • AI-Generated Code ProcessAI-generated code is reviewed by a human who understands it before merging.
    • AI-Generated Code ProcessAI-assisted code is covered by tests, and you can describe the review workflow.

    Next step

    Read what investors actually check in technical due diligence, then get a realistic build estimate for the roadmap you plan to pitch.

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