
During January 2026, Montana developed an interactive command-line onboarding flow for the hacksider/kilocode repository, focusing on AI provider and model selection. Using TypeScript and leveraging asynchronous programming, Montana refactored model fetching into a reusable service, fetchRouterModels, to improve maintainability and support future extensibility. The CLI experience was enhanced with paginated lists and clearer prompts, ensuring consistent user interface design across different terminal environments. Optional .env support was introduced to streamline onboarding and scripting. Montana’s work addressed prompt rendering inconsistencies by integrating @inquirer/prompts, resulting in a robust, user-friendly CLI foundation for scalable AI provider and model integration.
January 2026: Kilocode CLI upgrades for onboarding and AI provider/model selection. Delivered an interactive CLI flow that dynamically fetches models per provider and presents a smooth, paginated UX. Refactored model fetching into a reusable fetchRouterModels service, added optional .env support for CLI execution, and improved prompt rendering for cross-terminal reliability. Also fixed a bug to render prompts consistently across environments, preparing Kilocode for future provider/model expansions.
January 2026: Kilocode CLI upgrades for onboarding and AI provider/model selection. Delivered an interactive CLI flow that dynamically fetches models per provider and presents a smooth, paginated UX. Refactored model fetching into a reusable fetchRouterModels service, added optional .env support for CLI execution, and improved prompt rendering for cross-terminal reliability. Also fixed a bug to render prompts consistently across environments, preparing Kilocode for future provider/model expansions.

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