When you ask one model to fix a bug, you get one proposed fix and its confidence. When you ask several, you also learn where they disagree, and the disagreement is often where the real problem is.
When this is worth it
- A bug you have not been able to explain.
- A change touching authentication, payments or data deletion.
- A refactor where you are unsure of the safest sequence.
- Choosing between two designs.
For a typo or a one-line fix, one model is enough, and Keplar will treat it that way.
How to ask
Give the language and version, the failing behavior, the smallest example that fails and what you have already tried. The coding prompts include a debugging template and a skeptical review template. Remove secrets and customer data before pasting.
What you get
For a moderate or complex coding question, Keplar seats a panel with models from different families and a verifier. Each model answers independently, so you do not get one model's ideas echoed by the rest. The answer shows how many models proposed which cause, what the fix looks like, and where they diverge, such as one blaming a race condition and another blaming a type coercion. A reviewer reads the draft against the individual responses and may flag claims the responses don't support.
What to do with the result
- Read the Disagreements section. Each position is a hypothesis.
- Test the cheapest hypothesis first, with a log line or a test.
- Run the proposed fix and your tests.
- Ask a follow-up with the new evidence.
- Review the final change yourself.
What Keplar does not do here
Keplar does not run your code, your tests or your build. It does not check that a library function exists in your version. In chat, connected tools that you enable can read from servers you trust, with approvals for anything that writes. Treat all code from any model as a suggestion from an unknown contributor.
Costs and limits
Coding questions are rated more demanding than simple facts, so they usually use a panel, which costs more credits than a single-model answer. Choose Fastest in the thoroughness setting for small questions and Most thorough for the tricky ones. See Thoroughness modes.
Related
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