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AI-generated code safety

Specification, generation, tests, and review — in one loop.

AI-generated code is only useful when it starts from a written specification, is checked with tests and interface rules, and is reviewed against the planned architecture. Code that merely compiles is not enough.

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Who this is for

For founders and engineering leads using AI-assisted coding who need confidence that the resulting system is maintainable, reviewable, and aligned with its intended design.

The real problem

If you let AI generate code without a defined scope, you may get something that runs but is hard to explain, review, or safely change. Without a specification, interface rules, and a review step, each edit becomes guesswork and the system slowly turns into something nobody clearly understands.

What we do

We put AI-assisted implementation inside a specification → generation → tests → review pipeline. The agent works within clear constraints, evidence is captured as the work proceeds, and review is based on documented decisions rather than personal opinion.

How it holds together
  • 01

    Specification-driven generation

    Agents work from a documented contract with defined inputs, outputs, and limits. They do not work from an open-ended prompt alone.

  • 02

    Tests as a gate, not an afterthought

    Generated code goes through the same test, type, and contract gates as human-written code.

  • 03

    Senior architectural review

    Review checks whether the change does what it is supposed to do and stays within the agreed system boundaries. That is the part AI cannot reliably confirm on its own.

  • 04

    Traceable change history

    Every AI-assisted change is kept small, clearly named, and linked to its specification and tests.

Safety pipeline

Specification, generation, tests, and review as one continuous loop.

  1. 01

    Specification

    intent · contract · acceptance

  2. 02

    Generation

    AI-assisted implementation

  3. 03

    Type + contract

    compile · schema · API check

  4. 04

    Tests

    unit · integration · regression

  5. 05

    Architectural review

    boundaries · ownership

  6. 06

    Merge + trace

    linked back to specification

What you get
  • 01Specification, generation, and review pipeline design
  • 02Recommendations for test and contract gate configuration
  • 03Review checklist tied to architectural decisions
  • 04Change history conventions for AI-assisted work
Parent services

Service areas that use this technical foundation

Related reading

Background on this topic

Next step

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