Vibe Coding — what it is and why it expires
Vague prompts, unreviewed acceptance, and hope may work for a demo, not for a product. The issue is not the model but the system that guides and reviews it.
Felipe Luis Salgueiro / From passenger to owner
From passenger to owner: what Vibe Coding hides from you
Lesson 02 of the Building with AI series. The point is not to become a career developer: it is to understand enough not to delegate your own product without criteria.
Lesson 02 · August 1, 2026 · 140 min · ~150 professionals live · NoCode Startup
A lesson about no longer being a passenger in your own product: specify, review, and keep systems changeable.
Why this topic now
- Cost, silent breakage, and platform dependency make it insufficient to delegate everything to AI without understanding what runs underneath.
- The lesson replaces blind acceptance with specification, review, and quality foundations.
Format
Monthly live lesson at NoCode Startup. Recording is exclusive to students; this page records public concepts and materials in text for reference.
Explore NoCode StartupWhat the student learns
- Why vibe coding accumulates cost, lock-in, and technical debt.
- The inversion: 80% specification and 20% execution.
- RFCs, DRY, ETC, orthogonality, and quality gates as review criteria.
What they can do
- Identify coupled, repeated, or uncomponentized code.
- Write a basic RFC before asking an agent to execute.
- Set up a simple quality gate and name the next learning step.
Concepts covered in detail
Token cost — the end of flat subscriptions
Understanding what runs makes it possible to choose models by task, inspect consumption, and prevent heavy-use costs from becoming invisible.
Vendor lock-in — the risk no one sees until it is late
Lock-in appears when changing model or harness requires rewriting a system. The alternative is harness-agnostic architecture: Markdown context, core scripts, and skills as a directory.
Time inversion — 80% specification, 20% execution
When typing becomes cheap, time returns to context, architecture, acceptance criteria, and review before code generation.
RFC — the contract with the agent
An RFC describes context, inputs, outputs, rules, validations, acceptance criteria, and integrations. The agent executes against a visible contract.
DRY — AI repeats code by default
One authoritative source per piece of knowledge avoids correcting many places and reduces divergence.
ETC — AI couples everything
Decisions should be easy to change; implicit and repeated relationships make every change expensive.
Orthogonality — AI does not componentize
Components should change without breaking one another. Separating responsibilities is necessary for a product to keep evolving.
Quality Gates — automate what code review cannot cover
Automated validations establish a review floor for generated code and expose deviations before production.
Minimum floor — what to study to stop being a passenger
The goal is not to become a career developer; it is to read product, architecture, and quality well enough to decide and review.
Lesson structure
- Thesis: owner, driver, and passenger.
- The cost of not knowing: cost and dependency.
- Multi-model, agnosticism, and RFC.
- Quality principles and the next step.