Dropstone

About Dropstone

Dropstone is a desktop AI IDE aimed at helping developers write and maintain code through an evolving AI assistant. It presents itself as a generational recursive self-improvement system with integrations for local and cloud models, and includes features such as an MCP Server, Computer Use API, and Agent Mode.

Review

Dropstone positions itself as an experimental platform for autonomous programming, combining an IDE experience with model integrations like Ollama and Claude Code. The product is launching with a small set of early adopters and some visible rough edges typical of a newly released tool.

Key Features

• Generational recursive self-improvement AI that adapts as you code (product claim).
• Desktop application with an MCP Server and a Computer Use API for extended automation.
• Support for unlimited Ollama models and integration with Claude Code for code-focused models.
• Agent Mode for running autonomous agents that perform development tasks.

Pricing and Value

The launch information indicates there are free options available, which makes it accessible for developers who want to test the platform without an upfront cost. Detailed pricing tiers or enterprise plans are not fully disclosed on the launch page, so teams considering production use should review the official site or contact the project for specifics. For early adopters, the ability to experiment with local models and agent workflows represents the main value proposition.

Pros

• Ambitious concept that pairs an IDE with self-improving AI behavior for iterative coding assistance.
• Multiple integrations (Ollama models, Claude Code) and APIs that support local and external workflows.
• Agent Mode and Computer Use API enable automating development tasks beyond simple suggestions.
• Free options lower the barrier for experimentation and evaluation.

Cons

• Early release shows some stability and distribution issues (download paths and package availability reported as problematic).
• Limited public documentation and a small review base make long-term reliability and support hard to assess.
• Pricing details for advanced or commercial use are not clearly presented at launch.

Dropstone is best suited for developers, researchers, and teams that want to experiment with autonomous coding assistants and local model integrations. Given its early launch state, it makes sense for exploratory use and prototyping rather than mission-critical production workflows until more polish and clearer pricing/support information are available.