Trae IDE

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

General Information

General
Developer	ByteDance
Website	https://www.trae.ai/
Type	AI-Powered Integrated Development Environment (IDE)
License	Proprietary (utilizes open-source components)
Documentation	What is Trae IDE?
Pricing	Free
Included AI Models	Claude 3.5 Sonnet, Claude 3.7 Sonnet, GPT-4o, DeepSeek R1, DeepSeek Chat v3

Key Features

AI-Powered Assistance: Real-time code suggestions, error detection, and code explanations through integrated AI models.
Builder Mode: Allows users to describe project requirements in natural language, enabling the AI to generate and structure code accordingly.
Multimodal Input Support: Incorporate images, such as design mockups, to assist in code generation and understanding.
GitHub Integration: Seamless connection with GitHub for cloning repositories, managing branches, and committing changes.
VSCode Extension Compatibility: Supports most Visual Studio Code extensions, allowing users to customize their development environment.

Use Cases

Accelerated code generation based on natural language descriptions
Real-time debugging and error correction with AI assistance
Integration of design assets into the development workflow through image inputs
Streamlined collaboration and version control via GitHub integration
Enhanced code comprehension and learning for new developers through AI explanations

Installation & Usage

Installation:

Download the appropriate installer for your operating system from https://www.trae.ai/download
Run the installer and follow the on-screen instructions
Launch Trae IDE after installation

🔗 Resources

Edit on GitHub

Trae IDE AI technology page Hackathon projects

Discover innovative solutions crafted with Trae IDE AI technology page, developed by our community members during our engaging hackathons.

Qubic Liquidation Guardian

Qubic Liquidation Guardian is a hybrid Track 1 + Track 2 project built by CrewX that brings real-time liquidation protection, institutional-grade risk analysis, and automated alerting to the Qubic Network. The problem is simple: DeFi liquidations happen instantly, but users do not get instant signals. As a result, borrowers lose capital, protocols lose liquidity, and investors hesitate to adopt new systems without safety infrastructure. Inspired by this gap, Qubic Liquidation Guardian provides a complete safety layer over lending protocols deployed on the Nostromo Launchpad. At its core, the system includes an on-chain event listener and a real-time risk scoring engine, which analyzes: • Health Factor • Liquidation Proximity • Total Debt Exposure • Active Positions These metrics are combined into a 0–100 Risk Score, dynamically updated for each borrower. Based on the score, users are automatically classified into Low, Medium, High, and Critical risk tiers, enabling rapid decision-making. The platform also includes advanced features such as: • Whale Watch: Detect large-value transactions to anticipate market shifts • Smart Alerts: Severity-based notifications connected to any tool • Auto-Airdrop: Rewards for users who resolve high-risk positions • Crash Simulator: A built-in testing environment to simulate -70% market dumps, rebounds, and full resets to verify protocol safety Qubic Liquidation Guardian is designed to strengthen the Nostromo ecosystem by improving investor confidence, increasing protocol safety, and enabling risk-aware liquidity management. With over 35 production-ready API endpoints, an edge-distributed database, and a Next.js 15 architecture, the application is fully deployable and already live for testing. Ultimately, this project delivers exactly what new chains and protocols need: speed, stability, transparency, and automation—making Qubic safer for everyone.

AI-driven Team Formation

When a company gets a big project with a tight deadline, they face several challenges: Problem: - Time pressure: Not enough time to manually assess every employee's suitability. - Talent blind spots: Hidden or underutilized talents go unnoticed. - Bias and inconsistency in role assignments. - Cross-team collaboration gaps (who's available, who’s overloaded, etc.) - Need for immediate team readiness without the luxury of trial and error. My Tool Fixes This By: - Rapidly analyzing internal employee data (CVs, project history, feedback). - Auto-matching people to project roles based on real evidence, not just titles. - Providing explanations: Why this person fits, what gaps they might have, how to cover them. - Suggesting team composition instantly → making project kickoff much faster and smarter. I am proposing a role-fit AI engine that: - Works under tight timelines - Analyzes holistic data - Suggests ready-to-go teams - Justifies its decisions with explainable AI reasoning

SkySurveyor - Photogrammetry analysis software

- Photogrammetry Processing: Automatically processes drone images to create orthomosaic maps. - Modern Image Alignment: Uses edge detection, feature matching, and static point analysis for precise image placement. - Interactive Map Visualization: Displays processed images as overlays on interactive maps using Folium. - Multi-Resolution Tiling: Supports efficient map rendering at multiple zoom levels. - Performance Optimizations:Utilizes parallel processing and optimized image handling for large datasets. - Customizable Overlays: Enhanced overlays with popups, markers, and custom CSS for improved user experience. ## Usage - Upload drone images via the web interface. - Start photogrammetry processing from the dashboard. - View the generated orthomosaic and overlays on the interactive map. Key Technologies - Python, Django for backend and web framework - OpenCV, NumPy, Pillow for image processing - Folium** for map visualization - Concurrent Futures for parallel processing Advanced Techniques - Edge-based and Feature-based Alignment: Ensures accurate image stitching using Canny edge detection and ORB/SIFT feature matching. - Static Point Analysis: Fine-tunes image placement by analyzing overlapping features, similar to panorama stitching. - Multi-Resolution Tiles: Generates smaller, optimized PNG overlays for efficient map loading.

InvoiceR

1. Product Overview 1.1 Vision Statement To revolutionize invoice generation by providing a secure, user-friendly platform that empowers professionals and businesses to create professional invoices effortlessly while maintaining complete control over their data. 1.2 Mission Statement Deliver an industry-grade invoice generation solution that combines ease of use with robust security, specifically designed to meet the needs of Indian professionals and businesses, while serving the global market. 1.3 Core Value Proposition InvoiceR addresses the pain points of manual invoice creation by offering automated invoice generation with professional templates, secure local data storage, and streamlined workflows that save time and ensure consistency. 2. Market Analysis & User Personas 2.1 Target Audience Primary Users: Freelancers: Independent professionals seeking efficient invoice management Small Business Owners: MSMEs requiring professional invoicing solutions Agency Owners: Marketing, design, and consulting agencies managing multiple clients Consultants: Professional service providers needing standardized billing Secondary Users: Startup Founders: Early-stage companies establishing billing processes Creative Professionals: Designers, writers, and content creators Service Providers: Legal, accounting, and technical service professionals 2.2 Market Pain Points Time-consuming manual invoice creation in MS-Word or Canva Inconsistent invoice formatting and numbering Security concerns with cloud-based invoice data Lack of automated invoice tracking and management Complex software with unnecessary features for small businesses

dyslexi-read

DyslexiaAI is my app to make reading easier for dyslexic students, like me, because 1 in 5 kids struggle and many drop out. It changes PDFs or text, like school notes, into a dyslexia-friendly format with clear spacing and cool fonts. Novita AI gives short summaries so that you get it. You can pick colors like blue or green, to make it easy on the eyes. I used Trae AI IDE, Next.js, and Vercel to build it. It’s for kids and schools, maybe with a $5/month plan, beating boring apps with fun learning! i hope this project will help many students who are currently struggling with dyslexia. #novita

CodeChrono

In software development, time is not only money it also acts as memory. Chrono is genuinely an Al-native SaaS platform that captures and sets in stone a developer's decision-making process, climbing up debugging speed, and foster collaboration and long-term knowledge retention. Today, developers face fragmented workflows, unclear commit histories, and the recurring feeling of lost memory for specific changes. Chrono tackles all these problems by converting. the development journey into a dynamic and interactive timeline logging everything from voice annotation, task activities, commit codes, and bug traces. Developers can voice-record their instructions using Novita Al. These voice instructions are transcribed, contextually structured, and tagged with intelligence. Trac Al agents track work progress, code changes, and project decision-making, then compose these into a neat and searchable timeline. As Zilliz vector database supports natural language search, users can simply ask pertinent queries such as "Why was Redux removed?" or "What triggered the onboarding issue?" and retrieve the actual context immediately. Chrono targets solo developers, remote teams, and startup in agile settings working on reducing technical debt, speeding up onboarding, and preserving intent.