This task can be performed using CaptainCode AI
CaptainCode: One prompt, always the best AI model.
Route coding tasks by model
Before routing, group work into categories such as quick edits, debugging, architecture, and repository-wide changes. Confirm your model subscriptions and open-source deployments are available, then launch CaptainCode AI from the same terminal workflow as your other local developer tools.
Submit a representative prompt with only the files, constraints, and acceptance checks the task needs. Let the local TUI choose the coding and reasoning mix, inspect the result, and tighten context or split the task if the output is unfocused.
Best product for this task
CaptainCode AI
dev-tools
Captain Code is a local TUI crew chief that routes each developer task to the best mix of coding and reasoning models across your existing subscriptions and open-source deployments.
What to expect from an ideal product
- Routes tasks instead of relying on one default model
- Works with existing subscriptions and open-source deployments
- Keeps prompt submission in a local terminal UI
- Combines coding and reasoning model strengths
- Supports verification with normal repository checks
More about route validation
Validate the multi-model workflow with a small task set before trusting it on broad changes. The best route is the one that passes checks consistently, not the one using the most models.
- Include one edit, one bug fix, and one design task in the trial.
- Run the same acceptance checks for every result.
- If a route fails repeatedly, narrow the prompt or separate planning from implementation.
