Vibe Coding | 2026-07-03 | 8 min read
Vibe Coding: Build With AI Without the Hype
A plain-English hub for building with AI: vibe coding, agentic engineering, product docs, prototypes, launch checks, security, and coding-agent workflows.
Direct answer: Vibe coding means building software by describing what you want and iterating with an AI coding tool. It becomes reliable when you add product context, design rules, repo instructions, review loops, launch checks, and security checks.
Written by: Esmail Hanif, AI Visibility Strategist & Founder, Martecks
Short answer
Vibe coding means building software by describing what you want in plain English, letting an AI coding tool write the code, then testing and steering the result until it works.
It is not magic and it is not a replacement for judgment. The skill is learning how to give context, inspect output, catch mistakes, and keep the build small enough to finish.
The loop
Vibe coding is a loop, not a one-shot prompt. You describe the goal, give the AI context, let it build, test the result, and refine.
The people who get good results are not always the people who know the most syntax. They are the people who can explain the goal, notice what is wrong, and steer the next pass.
What vibe coding is good for
Use vibe coding for small, clear tools where you can test the output yourself.
- Landing page sections.
- Internal calculators.
- Content prompt generators.
- Small dashboards.
- CRM or spreadsheet helpers.
- Local automations.
- Prototype apps.
What vibe coding is bad for
Vibe coding gets risky when the system needs security, payments, sensitive data, complex permissions, reliability, or long-term maintainability.
That does not mean non-coders cannot build useful things. It means the first version should stay small, and serious workflows need review, docs, tests, and guardrails.
The beginner workflow
A good first vibe-coding project follows this order.
- Describe the user and the job the tool should do.
- List the inputs, outputs, and success criteria.
- Ask for the smallest working version first.
- Run it locally and test the main flow.
- Ask the AI to fix one issue at a time.
- Use a second review pass before sharing it with anyone.
How context changes the result
Weak vibe coding sounds like: "Build me a SaaS app." Strong vibe coding gives the AI product context, design rules, data examples, edge cases, and what not to change.
That is why context engineering matters. The more useful context the model has, the less it has to invent.
Reference links
This is a Martecks foundational explainer. It links to the agent workflow and context pieces that make vibe coding safer.
Sources: Martecks: context engineering, Martecks: AI coding agent review loop, OpenAI: Codex best practices
Read this build-with-AI cluster in order
Building with AI gets better when the path is clear: understand vibe coding, separate it from agentic engineering, write the lightweight docs, build one small workflow, then check design, launch quality, security, and tooling.
Use this order when an AI-built app or website starts to feel messy. The fix is usually not a bigger prompt. It is clearer product context, smaller scope, better repo instructions, review loops, and a launch checklist.
| Step | Guide | What it clarifies |
|---|---|---|
| 1 | Vibe Coding: Build With AI Without the Hype | Start with the plain-English definition: building software by describing intent and iterating with AI. |
| 2 | Agentic engineering vs vibe coding: what is the difference? | Separate casual creation from engineered agents, tools, memory, checks, and workflows. |
| 3 | Before You Ask AI to Build an App, Write These 5 Docs | Write lightweight specs before asking AI to build: product, flow, design, data, and backend rules. |
| 4 | AI App Prototype: Turn an Idea into One Testable Workflow | Turn an idea into one testable workflow instead of a bloated first version. |
| 5 | Vibe Code a Personal Tool with an AI Coding Agent | Practice on a narrow personal tool before building something customer-facing. |
| 6 | Why AI-Built Apps Look Generic and How to Fix Them | Fix generic AI output with design context, examples, screenshots, and system rules. |
| 7 | The AGENTS.md file that stops AI coding tools from overbuilding | Give coding agents repo instructions so they make smaller, safer changes. |
| 8 | AI Coding Agent Loops: Make Codex and Claude Review Each Other | Use builder, reviewer, and test loops instead of trusting one agent pass. |
| 9 | AI-Built Website Launch Checklist for Vibe-Coded Sites | Check copy, mobile, forms, SEO, accessibility, performance, analytics, and review before launch. |
| 10 | Vibe-Coded App Security Checklist: 7 Checks Before Launch | Run the security checklist before exposing data, auth, payments, APIs, or user inputs. |
| 11 | Codex vs Claude vs Gemini: Best AI Coding Agent for Your Workflow | Choose the coding agent by workflow fit, repo context, review style, and integration. |
| 12 | Is WordPress Still Worth It for AI-Built Websites? | Decide when a CMS is enough and when an AI-built custom site makes more sense. |
Final answer
Vibe coding is a practical way to build software by conversation, but the conversation needs structure.
Start small, give context, test every result, and add review loops as soon as the tool touches real users, money, or business data.