tool-selection-framework

Choosing between Claude Code and Gemini CLI requires evaluating project size, context size, reasoning depth, cost, and time constraints to output a concrete workflow path. This framework applies a structured decision algorithm to enforce that optimal tool selection.

The best way to automate multi-phase workflows for large systems is combining broad exploration and focused implementation. This framework systematically evaluates your project size and task type to output actionable recommendations with concrete checkpoints.

You should use a multi-phase workflow instead of a single AI tool when a project demands both broad exploration and focused implementation to maximize coverage and reasoning depth. The framework evaluates your task type and desired phase to determine if this combined approach is needed.

The tool selection framework supports both small modules and large systems. It systematically evaluates project size and task type to determine the optimal tooling path, ensuring appropriate context management and reasoning depth across varying scales.

Balancing context management and cost constraints involves evaluating project size and reasoning depth against time limits. This framework provides a structured decision algorithm to weigh these factors and output an actionable tooling recommendation with risk considerations.