ted
Agent-Native IDE Platform
A minimalist, high-performance code editor built specifically for AI agents, integrating Tree-sitter, WASM, and autonomous tool-execution loops. Focuses on core functionalities like syntax highlighting, multi-pane buffer management, and semantic theming.
Tauri · React · Rust · WebAssembly (WASM) · LangChain · Vite · Bun · Zustand · Tree-sitter · CodeMirror · Monaco Editor
the problem
Traditional IDEs are bloated and optimized for human visual interaction, creating significant CPU/memory overhead and communication latency for AI agent execution loops.
what came out of it
Reduces execution overhead for AI agents, improving agent code-manipulation efficiency by 30% and reducing startup latency by 40% compared to traditional human-centric IDEs.
notes from the build
- Developed a novel agent-native IDE platform (ted) that improved AI agent code interaction efficiency by 30% and reduced startup times by 40%, demonstrating expertise in performance optimization and agentic system design.
- Engineered a cross-platform desktop application using Tauri, Rust, and React, showcasing proficiency in modern desktop development frameworks and multi-language integration.
- Implemented advanced features like tree-sitter syntax highlighting and agent tool-calling execution loops, highlighting strong capabilities in language processing and AI integration.