How to Debug With Claude Code: Follow the Bug Triage Loop
Here is how to debug with Claude Code: run the Bug Triage Loop, a repeatable five-step method we teach at Claude Code Club. Instead of poking at code and hoping, you reproduce the bug, isolate where it breaks, form one hypothesis, apply the smallest fix, and verify it is actually gone. The loop turns a scary error into a short checklist.
The Bug Triage Loop is our own framework, and it is deliberately boring. Boring is good when something is broken. You are not trying to be clever. You are trying to change one thing, watch what happens, and keep the parts that work. Claude Code is the partner that reads the files and suggests the change, and you stay in control of what actually gets applied.
- Reproduce it: make the bug happen on purpose so you can see it every time.
- Isolate where it breaks: narrow it down to one file, one function, or one step.
- Form one hypothesis: state a single, testable guess about the cause.
- Apply the smallest fix: change the least amount of code that could solve it.
- Verify it is actually gone: reproduce your original steps and confirm the bug no longer happens.
Step One: Reproduce the Bug on Purpose
Start by reproducing the bug on purpose. A bug you can trigger every time is a bug you can fix. Tell Claude Code the exact steps: what you clicked, what you typed, what you expected, and what happened instead. Specifics matter more than feelings here, so write the real error text, not a summary of it.
In the Claude desktop app, describe the reproduction steps in plain words and paste the full error message if you have one. A bug that shows up reliably gives you something solid to test against. If you can only make it happen sometimes, spend a little more time nailing down the exact conditions before you move on, because an unpredictable bug is nearly impossible to verify as fixed later.
- Paste the full error message, including the file name and line if you have it.
- Describe the exact steps that trigger the bug, in order.
- Say what you expected to happen so Claude knows the target behavior.
- Confirm the bug happens every time before moving to the next step.
Step Two: Isolate Where It Breaks
Once it reproduces reliably, isolate where it breaks. Ask Claude to trace the behavior back to the smallest possible spot: a single file, a single function, a single line. In the desktop app you can point Claude at your project and let it read the relevant code, then ask which piece is most likely responsible. Narrowing the search area is often ninety percent of the work.
Resist the urge to change anything yet. This step is only about finding the location, not fixing it. Ask Claude to point at the single most likely source and to explain how it reached that conclusion. When you know exactly where the problem lives, the fix almost writes itself, and you avoid touching parts of the project that were never broken.
Step Three: Form One Hypothesis Before You Touch Anything
Before you change a single line, form one hypothesis. A hypothesis is a plain-English guess you can test, like the date is being read as text instead of a number, or the button runs before the data has loaded. One guess, not five. This is the step most people skip, and skipping it is why debugging feels like flailing.
Ask Claude Code to give you its single best guess for the cause and to explain why in one or two sentences. If it lists several possibilities, ask it to rank them and pick the most likely one to test first. You are looking for a clear statement you can prove right or wrong, because a testable guess is what keeps the loop moving forward instead of in circles.
Step Four and Five: Apply the Smallest Fix, Then Verify
Now apply the smallest fix that could prove your hypothesis. Ask Claude Code for the minimal change, not a rewrite. A small fix has two gifts: it is easy to understand, and if it does not work, it is easy to undo. Review the change before you accept it so you know exactly what moved. You stay the decision-maker, and Claude does the typing.
Then verify it is actually gone. Run your original reproduction steps from step one and confirm the bug does not happen. This sounds obvious, but people constantly assume a fix worked without re-testing it. If the bug is still there, your hypothesis was wrong, which is fine. Go back to step three with what you just learned and form a new one.
- Ask for the smallest possible change tied to your one hypothesis.
- Review the change before accepting it so you understand what moved.
- Re-run the exact steps that caused the bug.
- Confirm the bug is gone and nothing else broke.
- If it is not fixed, form a new hypothesis and run the loop again.
That is the whole Bug Triage Loop. Reproduce, isolate, hypothesize, fix small, verify. When you get stuck on a bug that will not budge, bring it to the Claude Code Club community and post your steps and your hypothesis. Someone has almost certainly seen it, and the loop gives everyone a shared way to help you. ⚡
Frequently asked questions
What is the Bug Triage Loop?
The Bug Triage Loop is a five-step debugging method from Claude Code Club: reproduce it, isolate where it breaks, form one hypothesis, apply the smallest fix, and verify it is actually gone. It replaces random guessing with a repeatable checklist. You run it with Claude Code doing the reading and suggesting while you make the calls.
Do I need to use the terminal to debug with Claude Code?
No. You can debug entirely inside the Claude desktop app by describing the bug and letting Claude read your project files. The terminal is an optional path for people who prefer it, but it is never required to get value.
Why should I only apply one small fix at a time?
One small fix is easy to understand and easy to undo. If you change five things at once and the bug goes away, you have no idea which change did it. Small changes keep the cause and effect clear.
What if Claude Code fixes the bug but breaks something else?
That is why the verify step re-runs your original steps and checks that nothing else broke. If a new problem appears, treat it as a fresh bug and run the loop again on it. Small fixes make this rare and easy to trace.
How do I reproduce a bug I only saw once?
Write down everything you remember about what you did right before it happened, then try those exact steps again. Ask Claude Code to help you find the conditions that trigger it. A bug you cannot reproduce is a bug you cannot reliably fix, so this step is worth the patience.
What if my hypothesis is wrong?
A wrong hypothesis is normal and useful, because it rules out a cause and teaches you something. Go back to the hypothesis step, use what you just learned, and form a new one. The loop is designed to be run more than once.
Last reviewed by David Iya on June 27, 2026


