I have an idea.
Define a user outcome, set a boundary, and turn a broad request into a first task with an observable finish line.
Build a practical planA little structure. Real forward motion.
Kandoo Code
Kandoo Code is an AI coding assistant preview for turning project plans into reviewable changes, with unfiltered and uncensored model choice through your setup.
- 01 / A clear destinationPlan the outcome
- 02 / A useful boundaryShape one task
- 03 / A concrete requestWork with the assistant
- 04 / Evidence that mattersReview the change
Pick up where your project is.
You do not need a perfect specification. You need enough context to make the next step a good one.
I have a repository.
Find the entry points, local conventions, and existing checks before asking the assistant to change anything.
Make a repository mapI have a patch.
Compare intent with the diff, follow the failure path, and choose evidence that proves the changed behavior.
Run the review loopUnfiltered coding, with a practical plan.
Looking for an uncensored AI coding assistant? Start by defining the flexibility your work needs. Model and provider behavior varies; a label cannot settle compatibility, quality, or restrictions.
Make the first session read-only.
Prepare a small project and the details of your chosen endpoint. Ask one question about existing behavior, check the answer against the files, then decide on a bounded change.