The best vibe coding tools, and what decides success

If you want the definition and where the term came from, the guide covers that. This piece is about the tools, and about the one thing that decides whether any of them work for you.

Because the tools are the easy part. What decides whether you end up with a working product or an unmaintainable pile is not which one you picked.

The tools, by what you are making

The cliff

Vibe coding works beautifully up to a point and then stops working rather suddenly. The point is not a number of lines. It is the moment you can no longer tell whether a change broke something.

Before that line, the model writes, you glance, it works, you move on. After it, every change breaks something you did not look at, and because you did not read the code you have no map of what depends on what. Progress does not slow down - it reverses.

What is the fix, if you still do not want to read the code?

Tests. Not because tests are virtuous, but because a test is the only way to keep a verification signal when you have given up reading. It replaces "I understand this code" with "the machine can tell me if I broke it", which is exactly the thing vibe coding removed.

The right time to start is before the cliff, and the tests do not have to be yours - "write tests for what this currently does" is a good instruction, and it works better than it sounds because the behaviour is already there to be described.

What good vibe coding actually looks like

1. Describe the outcome, not the implementation. "Users can reset their password by email" beats "add a POST endpoint that...". You are buying judgement; do not spend it specifying.
2. Keep the loop closed. Something must be able to say "this works" - a test, a build, a page you can open. Without it you are not vibe coding, you are hoping, and this is the failure it produces.
3. Commit constantly. Your undo is git, not memory. This costs nothing and saves entire afternoons.
4. Read the interfaces, skip the bodies. Knowing what talks to what is enough of a map. You do not need to read every function to stay oriented.
5. Stop and reset when it drifts. When the agent starts fixing its own last fix, the context is poisoned. Start a new thread and describe the current state fresh. If you are new to all of this, the loop is worth understanding first.

Did that land?

Three questions.

What marks the point where vibe coding stops working?

Somewhere around a thousand lines, whatever the project When you add a database and the state stops being local When you can no longer tell whether a change broke something When the project outgrows the model's context window

Why do tests matter more in vibe coding than in ordinary coding?

Most agent tools will refuse to make changes without them They make the model write better code the first time round They cut token costs by giving the agent a shorter feedback loop They replace the understanding you gave up by not reading

The agent starts fixing bugs introduced by its own previous fix. What is the right move?

Tell it to slow down and reason more carefully this time Switch to a bigger model that can hold more of the history Start a new thread and describe the current state fresh Revert every change and build the whole feature again