Background and core functions
When faced with a large codebase of more than 2 million tokens, traditional coding tools are often inefficient due to context limitations, which Plandex systematically solves with its ultra-long context support, intelligent task decomposition, and sandboxing isolation mechanism.
Specific operational programs
- Intelligent loading strategy: Use
plandex loadCommand to load key directories accurately, with automatic indexing (supports 30+ languages) to quickly build project knowledge - Multi-step planning: By
tellInstructions to break down complex requirements (e.g., "implement a distributed caching system"), the system will generate an execution plan that includes subtasks such as database connectivity, consistency checks, and so on. - sandbox collaboration: All changes are stored in an isolated environment first, via the
plandex changesPerform visual difference comparisons and support document-by-document review beforeapply - Resource optimization: For very large files, enabling context caching (OPENROUTER_API_KEY required) reduces token consumption for 30%+.
advanced skill
combiningplandex branchCreate experimental branches to try out different architectural scenarios, utilizing the auto-completion feature of the REPL model (enter theView All Commands) can further enhance the efficiency of the interaction.
This answer comes from the articlePlandex: an open source AI coding assistant with support for ultra-long contextsThe
May not be reproduced without permission:AI productivity tools " How to Improve Code Writing Efficiency in Large and Complex Projects with Plandex?
