Main Idea of the Conversation
- “Vibe coding” is described as a way of working with AI in which a person unconditionally accepts generated output and checks almost nothing.
- This approach enables a rapid start, but removes the key mechanism of software development: distinction (correct/incorrect, appropriate/inappropriate, stable/unstable).
What Happens with This Approach
- AI assembles mainly locally plausible fragments rather than a coherent architecture.
- If the person does not verify the result, the correction loop disappears:
- hypotheses are not tested,
- discrepancies are not recorded,
- invariants are not explicitly examined.
- As a result, the system gradually comes apart:
- architectural contradictions,
- brittle contracts,
- “invisible” bugs,
- declining controllability as the project grows.
Why This Seems Like a “Revolution”
- People are sold a simple model: “don’t think too deeply; AI will do it for you.”
- At the beginning, this genuinely feels good: less cognitive load, faster visible results.
- A substitution arises: the feeling of speed is mistaken for the quality of engineering thought.
The FlatMind Pattern (As Described in the Conversation)
- Distinctions are removed.
- Verification is removed.
- Responsibility is removed (“AI suggested it”).
- Instead of a result, the feeling of progress is demonstrated.
Where the Approach Can Still “Hold Up”
It works to a limited extent while:
– the project is small,
– there are few dependencies,
– there is no complex state,
– accuracy requirements are low.
As complexity grows (integrations, scaling, maintenance, concurrency), problems accumulate and become systemic.
The Key Risk: “Plausible Bad Code”
The conversation emphasized that AI often produces not “messy” bad code but bad code that looks convincing:
– tidy names,
– “clean” functions,
– familiar patterns,
– but false boundaries and unnecessary entities.
This is harder to detect because the error is not in the style but in the ontology of the system (the incorrect structure of meaning).
Symptoms of “Architectural Noise”
- unnecessary additional layers,
- interfaces “for the sake of interfaces,”
- abstractions without a real distinction,
- logic spread across too many places,
- loss of traceability of causes and decisions.
A Working Alternative (From the Conversation)
- AI = a generator of hypotheses, not a source of truth.
- Human = a system of distinction and verification.
- Before generation, establish:
- entities,
- distinctions between them,
- invariants.
- For each layer, ask: what distinction does it preserve, and what breaks if it is removed?
Why “Vibe Coding Geniuses” Become Popular
- They often capture only the early phase of success (a quick prototype) and present it as a universal model.
- At that moment, their audience sees speed but has not yet encountered the deferred costs of maintenance and change.
Final Formulation
- In the discussion, “vibe coding” is understood not as a new engineering technology but as a refusal to make distinctions.
- It accelerates not so much development as the accumulation of hidden architectural errors.
- A system’s stability is determined by the presence of mechanisms for distinction and verification before breakdown occurs.
