SIMY is an AI-powered software development platform that automatically generates production-ready code from workplace conversations. It captures discussions across communication tools such as Slack, Microsoft Teams, Gmail, and Zoom, and converts them into structured engineering tasks with full contextual information.
The platform uses a conversation-capture engine to extract requirements, specifications, and technical decisions directly from team discussions, eliminating the need for manual prompt writing. Captured data is organized into an “Action Database,” where each task includes contextual metadata such as decision rationale, constraints, and stakeholder input.
SIMY defines a “Done State” for each task by deriving acceptance criteria from conversations, including expected behavior, edge cases, and performance requirements. This enables the system to validate generated code against agreed specifications before submitting it for review.
The platform operates in three stages:
1) Capturing requirements and decisions from communication channels
2) Structuring discussions into actionable engineering tasks with dependencies and priorities
3) Automatically generating code, executing tests, and submitting pull requests to GitHub repositories
SIMY also includes an AI-based “Digital Twin” that provides answers about project status, priorities, and historical decision-making based on captured conversations.
In internal benchmarks, the platform achieved an 86.7% first-pass task completion rate and significantly reduced communication overhead, while increasing the number of pull requests generated per engineer. These results may vary depending on codebase complexity and environment.
The system integrates with existing development and communication tools, including Slack, Microsoft Teams, Gmail, Zoom, and GitHub. It employs enterprise-grade security features such as opt-in data access, isolated databases per customer, encryption, and a policy that prevents customer data from being used to train external AI models.
