Dropstone 3
UnclaimedThe collaborative AI workspace where everyone builds, describes, and ships software together.
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TL;DR - Dropstone 3
- Collaborative AI workspace for real-time software development by business owners, developers, and AI.
- Features a single, context-aware AI that remembers all project details and team interactions.
- Automates code generation, testing, and verification with background AI agents, while providing developer oversight.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Significantly accelerates development by automating code generation and testing.
- Maintains full project context, preventing AI from "forgetting" past decisions.
- Ensures higher code quality and security through automated verification and developer oversight.
- Facilitates seamless collaboration between technical and non-technical team members.
- Solves complex bugs and features by exploring multiple solutions in parallel.
Cons
- Reliance on AI for core development might lead to a learning curve for traditional developers.
- Specific limitations of the free tier (e.g., 50 fast requests/day, linear inference only).
- Pricing for teams can become substantial with many users.
Preview
Key Features
Multiplayer AI Chat with infinite contextRole-Based Views (Business View, Developer View, AI Agent View)Background Agents for parallel solution exploration and verificationInfinite Context Memory (99.9% recall for large projects)Horizon Mode (AI explores thousands of solution paths simultaneously)Verification Pipeline (syntax, security, functional, fuzz testing)Multi-agent architecture (swarm of specialized AI agents)VS Code-compatible editor, terminal, and Git integration
Pricing Plans
Free
$0
- Open-source experimentation and local model inference
- 50 fast requests per day
- Unlimited local models (Ollama)
- Linear inference only
- Standard context window
- Unlimited active share links
- Viewer-only mode
- Real-time file collaboration
- Real-time editing previews
Pro
$15/mo
- Deep reasoning and infinite context for professional engineers
- Unlimited local and fast models
- ~750 frontier requests (Claude 4.5, GPT 5.2)
- HorizonScout swarm exploration
- L1-L2 adversarial verification
- Impact analysis engine
- Advanced contextual understanding
- Personal learning weights
- Unlimited share links
- Viewer & Editor access modes
- 1 concurrent editor per session
- Real-time collaboration
- Live editing & preview
Teams
$75/user/mo
- Shared state and autonomous verification for engineering teams
- ~2,250 frontier requests (3x)
- Pooled team credits
- HorizonFlash protocol instant pruning
- Shared failure vectors
- L3-L4 sandboxed verification
- Unlimited share links
- Viewer & Editor access modes
- Unlimited concurrent editors per session
- Real-time collaboration
- Live editing & preview
- SSO and SAML integration
- Advanced audit logging
What is Dropstone 3?
Dropstone is a collaborative AI workspace designed to streamline software development by integrating business owners, developers, and AI agents into a single, real-time environment. It allows non-technical users to describe features in natural language, while AI agents build the code, and developers review and refine it. This platform aims to solve the "70% problem" often encountered with other AI tools, where AI can initiate a project but struggles with complex features, bugs, or production-readiness, by ensuring a developer is always present in the workspace to handle challenges.
The product features a unique "multiplayer AI chat" where all team members interact with a single AI that maintains infinite context, remembering past decisions and conversations across sessions. It offers role-based views, adapting the interface for business owners (chat and live preview) and developers (full VS Code-compatible editor, terminal, git integration). Dropstone also leverages background AI agents that explore multiple solutions, test for bugs and security flaws in parallel, and present only pre-verified, optimal solutions, significantly accelerating the development process and ensuring code quality.
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Dropstone 3 FAQ
How does Dropstone's 'Infinite Context' feature manage token consumption for large codebases?
Dropstone optimizes token consumption at the infrastructure level, reducing per-request usage by over 58% compared to standard tools. This efficiency allows for unlimited tokens with generous rate limits, enabling the handling of 100K+ line codebases with the same token efficiency as a single-file edit.
What is the function of the 'PIP Mode' interface in Dropstone?
PIP Mode provides a compact floating interface for orchestrating Multi-Agent Control Planes (MCPs), coordinating multi-agent workflows, and controlling the sequence of execution across an entire stack. It allows users to trigger and monitor MCP servers and define operational order without leaving their current window.
How does Dropstone's integration with Figma MCP enhance design collaboration?
Dropstone connects to Figma through its MCP, acting as a collaborative AI designer directly on the canvas. Users can select any layer, describe their intent in natural language, and observe real-time edits, making it a production-grade AI designer for global scale.
What is the 'Cognitive Architecture' and how does it contribute to Dropstone's functionality?
The Cognitive Architecture powers Dropstone's AI IDE with cognitive long-term continual learning that persists across every session. This allows the AI to remember, adapt, and evolve, creating an effectively unlimited context window that grows smarter with every interaction through continual learning and self-evolving capabilities.
What are the key differences in compute capabilities between the 'Pro' and 'Teams' pricing plans?
The 'Pro' plan offers unlimited local and fast models with approximately 750 frontier requests per month, utilizing Horizon Scout swarm exploration. The 'Teams' plan provides pooled team credits with around 2,250 frontier requests per month (3x the Pro plan), incorporating Horizon Flash protocol instant pruning and L3-L4 sandboxed verification.
How does Dropstone's 'Memory' feature improve over time and across team members?
Dropstone's Memory builds a persistent knowledge graph from every interaction without manual setup, learning codebase patterns, architecture decisions, and team preferences. This context persists and improves across all conversations and can be shared across the entire engineering team, ensuring it's always relevant to the current task.
Source: dropstone.io