Coding by Feel: When Conversation Becomes a Workflow A new kind of programming is spreading in student clubs, startups, and even inside big...

Coding by Feel: When Conversation Becomes a Workflow

A new kind of programming is spreading in student clubs, startups, and even inside big companies: “vibe coding”. [I] Instead of typing every line, a person describes the goal in plain language, and an AI tool proposes a draft, suggests a different model, or points to a missing file. Some platforms even let newcomers sign up and ship a tiny app before understanding why a loop works. A prompt may be a polite cue in conversation or a strict command in a terminal, and a draft may be a sketch or a first version. The developer steers the process by naming constraints, testing outcomes, and deciding what to keep, and it can feel closer to design than to traditional coding. In this paradigm, the same word can carry two jobs: “run” may mean executing a program or managing a project, while “branch” can be both a code path and a decision path. The convenience is real, yet the speed can hide what the code is actually doing. [II]

Vibe coding shines when rapid learning is the point, not perfection. A small team can hit the ground running by letting an assistant generate a basic interface, then allocating time to test the core actions and validate error messages. To stay safe, experienced builders scrutinize outputs, minimize risky assumptions, and keep an eye on data flow, especially when an app touches payments, health, or school records. A simple rule helps: treat every generated change like a hypothesis that must earn trust through tests. Clear tests raise the bar for changes that look fine but fail in edge cases. Many groups mix in short checklists: write one small test before accepting a change, save prompts beside the code so choices are traceable, and reach out to a teammate for a quick code-review when a new library appears. When deadlines pile up, they often prevent messy “fixes” that later cost more than the first idea. [III]

Speed still needs boundaries, because every project sits somewhere between play and responsibility. [IV] A prototype can have a short lifespan, albeit a high impact on learning, so rules can be lighter for low-stakes demos than for tools that affect real users. Even playful projects need a mechanism whereby mistakes are noticed early, such as logs, simple monitoring, and a clear way to revert a change. When a team can infer the origin of a bug from a saved prompt and a single “commit” note, debugging becomes faster and calmer. The aim is to build a workflow that protects its inputs and decisions, so progress stays trustworthy and does not diminish as the codebase grows.

[Adapted from https://www.vibeclaw.com]

Question 31: The phrase “hit the ground running”in paragraph 2 is OPPOSITE meaning to __________.

A. move forward without delay        B. begin slowly and hesitate

C. start at a steady pace                D. get started right away

Question 32: Because a prototype may have a short lifespan, __________.

A. teams should ignore logs and monitoring, since small trials rarely create serious mistakes overall.

B. developers must keep identical rules for demos and products, even if users are affected.

C. only speed matters, so generated changes can be accepted without tests or human review.

D. rules can be lighter for low-stakes demos than for tools that affect real users.

Question 33: Where in the passage does the following sentence best fit?

Rapid output may hide structural flaws when evaluation relies only on visible results.

A. [I]        B. [II]        C. [III]        D. [IV]

Question 34: Which of the following can be inferred from the passage?

A. Stricter testing and review become more necessary as a vibe coded project moves from demos to real users.

B. Vibe coding removes the need to understand code, since AI reliably handles debugging, monitoring, and safety checks alone.

C. Saving prompts is mainly useful for speeding up design meetings, not for tracing decisions or finding the source of bugs.

D. Teams should ace

pt generated changes immediately during deadlines, because quick fixes are cheaper than careful tests later.

Question 35: Which of the following best paraphrases the underlined sentence in paragraph 3?

A. Even fun builds need rules to spot bugs late, relying on notes, simple alerts, and a slower rollback.

B. Light projects can ignore early checks, since logs and monitoring mostly matter after release anyway.

C. Playful work should prevent mistakes by banning logs, skipping monitoring, and avoiding any reversal steps.

D. Even casual projects still need a system to catch errors early, using logs, basic monitoring, and an easy rollback.

Question 36: The word “its”in paragraph 3 refers to __________.

A. debugging        B. prompting        C. workflow        D. project

Question 37: Which of the following best summarises the passage?

A. AI automates coding fully, so teams can ignore tests and ship faster with minimal oversight.

B. Vibe coding speeds building, but reliability requires testing, review, and safeguards as responsibility increases.

C. Traditional coding is replaced by prompts, making vocabulary choices more important than software quality.

D. Vibe coding mainly teaches word meanings, so workflow rules matter less than linguistic accuracy.

Question 38: Which of the following is TRUE according to the passage?

A. Keeping prompts beside code helps trace decisions and test code bugs origins later.

B. Keeping prompts beside code removes the need for tests in fast vibe coding.

C. Keeping prompts beside code ensures every generated library is safe without review.

D. Keeping prompts beside code prevents any hidden flaws when results look correct.

Question 39: Which of the following is NOT mentioned as a way to keep vibe coding reliable?

A. Allocate time for small tests and validate error messages before keeping a generated change.

B. Save prompts beside the code so later decisions can be traced when a bug appears.

C. Let the assistant decide which new libraries are safe without asking for a quick human review.

D. Reach out to a teammate for a brief code-review whenever a new dependency is introduced.

Question 40: In a team using vibe coding for both quick demos and real user-facing tools, which option best matches how safeguards should scale while keeping debugging practical?

A. Strict controls are optional for high-stakes apps because rapid iteration improves learning, so monitoring and rollback can wait until later stages.

B. Uniform rules should apply to all projects, since prototypes and production tools face the same risks, and prompts do not aid debugging.

C. Lightweight demos need no guardrails; saving prompts mainly slows teams down, and reviewing new libraries is enough to prevent failures.

D. Expectations should rise with real-world impact; even quick prototypes need traceability and an easy rollback so hidden flaws are caught early.