Vibe Coding: Building Fast with Claude, Cursor, and GitHub Copilot

Andrej Karpathy coined the term "vibe coding" in early 2025 as a bit of a joke: describe the thing, let the model do it, fix what feels wrong. A year later it is the way most of my team ships, and the meme has turned into a real engineering discipline.

What is vibe coding, really?

Vibe coding is an AI-first engineering practice where developers describe intent in natural language and let models like Claude Code, Cursor, and Copilot draft, test, and iterate. Done with discipline (prompt libraries, strong tests, type systems, PR review), it lets teams ship 3 to 5 times faster without sacrificing production quality.

What does the vibe-coding stack look like in 2026?

Four tools cover most teams: Claude Code for long agentic tasks (multi-file refactors, RFC implementation), Cursor for the main edit loop, GitHub Copilot as always-on autocomplete, and Claude Opus via API for one-off research and prompt libraries. Most engineers pair Cursor + Copilot daily.

• Claude Code for long agentic tasks, "implement this RFC", "debug this failing test suite", "migrate this module from Eloquent to a service layer". Best for multi-file changes and refactors.
• Cursor for the main edit loop, inline Tab completion, composer mode for in-file refactors, and its agent mode for quick tasks.
• GitHub Copilot as the always-on autocomplete inside other tools (VS Code, JetBrains, the terminal).
• Claude Opus via API for one-off research, spikes, and prompt libraries.

What habits make vibe coding actually work?

Five habits: write prompts like briefs not tweets, keep a versioned prompt library, always review the diff (no auto-merge), run the tests every time, and use agents for boring plumbing (config, migrations, CRUD, docs) where they shine. Vibe coding without these habits is just chaos with extra steps.

1. Write the prompt like a brief, not a tweet. Context, constraints, examples, expected output. A well-scoped prompt ships in one shot. A vague one loops forever.
2. Keep a prompt library. The prompts you use for PR reviews, commit messages, migration scaffolds, test suites. Version them like code.
3. Always review the diff. Vibe coding is not auto-merging. It is pair programming with a model that types faster than you. The human still owns the merge button.
4. Run the tests. Every time. The model is confident even when it is wrong; the test suite is not.
5. Use agents for boring tasks. Agents shine at plumbing: config files, migrations, CRUD endpoints, test scaffolds, documentation. Let them off the leash there.

What guardrails keep vibe coding safe?

Strong test suites (non-negotiable), type systems (TypeScript, Larastan, mypy) to catch the errors models love to make, PR templates that demand human-written summaries, and production observability so AI-written services do not fail silently for days. The model is not the authority; the human reviewer is.

• Strong test suites. Non-negotiable. The model will fix failing tests; without them it can ship anything.
• Type systems (TypeScript, Laravel + Larastan, Python + mypy). Types catch the class of errors models love to make.
• PR templates that force a human-written summary of what changed and why. No "implemented per spec" slop.
• Observability in production. If an AI-written service breaks, you need to know in minutes, not days.

Is the vibe-coding speedup actually real?

Yes. On my last project, a Laravel + React SaaS rebuild, we shipped in 11 weeks what 2023-me would have quoted six months for. AI did not write code while we slept. The loop between "I want this" and "the test passes" shrank from hours to minutes, run 30 times a day instead of three.

The creative, architectural, product-judgement parts of engineering are unchanged. The friction parts have largely evaporated.

How do I roll vibe coding out on my team?

Start with one pairing (Cursor + Copilot is the lowest-friction). Write a small prompt library. Institute PR discipline (human-written summaries, mandatory diff review, test pass requirement). Measure cycle time for two sprints. By sprint three the results are usually obvious enough to scale to the rest of engineering.

Happy to help UK and European teams introduce vibe-coding workflows without the chaos, get in touch.