Using agents is not abandoning engineering
OrvixLabs uses AI agents intensively to design, build, review and test software. The difference from vibe coding is not who types each line. It is what governs the process around that generation.
More speed requires more control
When a machine can produce hundreds of lines in seconds, writing stops being the bottleneck. The hard part becomes proving which requirement was implemented, which test exercised it, what changed and what remains unverified.
The builder does not approve itself
A candidate moves through specification, build, execution, evidence and independent audit. If a correction changes the artifact, the previous approval no longer applies. AI accelerates engineering; it does not replace its discipline.
Speed moves the bottleneck
When code generation takes seconds, typing stops being the scarce activity. The scarce work becomes specification, impact review, test design and preserving evidence of which requirement was covered. Using agents to produce faster while leaving the review method unchanged only increases the number of changes that can reach production incorrectly.
Specification should precede implementation
A builder agent needs a work contract: objective, allowed interfaces, invariants, files it may touch, acceptance conditions and boundaries. It does not need every future line specified, but it does need a definition of what must be true for the task to be considered complete. Without that reference, later evaluation compares code against the builder’s own interpretation.
Tests belong to the artifact
A result should not arrive as “generated code” plus a persuasive explanation. Reproducible tests, migrations, operational documentation and evidence of corrected failures belong to the same deliverable. When another agent or a person reviews the work, those tests should be executable without relying on the builder’s memory.
Separate building from approval
The capability that makes an agent excellent at programming does not give it independence to certify its work. A serious flow allows self-checks by the builder but reserves audit for an instance with a different objective and permission to block. If a correction changes the audited artifact, affected evidence should be produced again.
The real advantage of agents
The benefit is not eliminating engineering but reinvesting time. If a task that once required days of typing now takes hours, that margin can fund more test scenarios, documentation, threat modeling, adversarial review and validation. Automating writing and then blindly automating approval merely accelerates the same risk.
A useful test
One concrete way to put this idea under pressure is to hand a completed task to an auditor without the builder conversation and see whether requirements, tests and changes can be reconstructed from the artifact and its evidence alone. The test should not ask only whether an answer appears, but which state remains, what evidence is preserved and whether another operator can understand why the system behaved that way. This turns an editorial principle into an observable property and exposes places where architecture still depends on invisible assumptions.
What this note does not claim
Using agents does not guarantee quality or eliminate specification errors; the claim is that speed becomes an engineering advantage only when contracts, tests and independent review remain intact. This distinction matters because a good practice stops being useful when it becomes a universal promise. The goal is to make one design boundary explicit so it can be discussed, tested and adapted to the domain while facts, inferences, permissions and decisions remain separate.