plandex

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Basic Information

Plandex is a terminal-based AI development tool and coding agent designed to plan, implement, and review large multi-file coding tasks for real-world projects. It is intended for developers who need to make complex, cross-file changes and want a controlled workflow that can range from step-by-step human oversight to full autonomy. The tool loads and indexes large codebases using tree-sitter project maps, manages very large context windows (effective 2M tokens by default) and can index projects with tens of millions of tokens. Plandex separates AI-generated edits in a cumulative diff review sandbox so changes remain isolated until approved. It supports multiple model providers and curated model packs, offers a REPL and CLI for interactive or scripted use, integrates with git for commits and branching of plans, and provides cloud and self-hosted deployment options to suit development and production environments.

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Features
Plandex provides large-context management with an effective 2M token window and selective loading to keep steps focused. It builds fast project maps and syntax validation via tree-sitter with multi-language support. A cumulative diff review sandbox isolates generated edits until reviewed and applied. The tool combines models from Anthropic, OpenAI, Google, and open-source providers and offers curated model packs and context caching to reduce cost and latency. Autonomy is configurable from full automation to fine-grained control. Automated debugging covers terminal commands and, optionally, browser debugging when Chrome is available. Additional features include project-aware chat mode, full version control for plans, git integration with commit generation, Dockerized local mode for self-hosting, and provider key support for BYO API workflows.
Use Cases
Plandex helps developers tackle large, complex code changes safely and efficiently by planning multi-step tasks, loading only relevant files, and keeping AI edits in a reversible sandbox until they pass review. Its large-context capability and tree-sitter indexing make it reliable on big projects where other tools struggle. Model combination and caching let teams balance capability, speed, and cost. Configurable autonomy and automated debugging reduce manual toil for builds, tests, linters, and deployments while still offering a step-by-step REPL for oversight and learning. Git integration and versioned plans enable branching experimental strategies and tracking, and hosting options allow teams to run Plandex locally or use hosted services depending on compliance and convenience needs.

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