Cursor

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Cursor

Cursor is an AI-powered integrated development environment (IDE) designed to help developers write, edit, and debug code more efficiently. Built on top of Visual Studio Code (VS Code), Cursor retains full compatibility with all VS Code functionalities and integrations, making it easy for developers to transition between IDEs. With advanced AI capabilities, Cursor improves workflows by providing intelligent code suggestions, predictive completions, and auto-updating code references, all aimed at reducing manual tasks. It also offers real-time collaboration features, context-aware code discussions, and proactive AI debugging, giving developers a powerful and intuitive environment for building software faster.

General
Author	Cursor
Release Date	2023
Website	https://www.cursor.com/
Repository	https://github.com/cursor
Documentation	https://docs.cursor.com/
Technology Type	AI-Powered Integrated Development Environment (IDE)

Key Features

AI-powered Code Suggestions: Cursor provides contextual code predictions and completions, helping developers write code faster by suggesting what comes next, understanding the project structure, and updating references automatically.
Refactoring and Debugging: The AI helps in refactoring code by suggesting improvements and fixing linter errors within the code editor, making it easier to maintain code quality.
VS Code Extension Compatibility: Users can import VS Code extensions and key bindings, ensuring familiarity for those migrating from other environments.
Keyboard Shortcuts: With powerful shortcuts like Cmd + K for code generation and Cmd + L to open chat, Cursor enhances developer productivity by offering quick access to AI tools.
Collaboration Tools: Built-in features for chat-based coding, AI-assisted discussions, and the ability to track chat history make it ideal for teamwork and collaborative projects.
Chat with AI: Through the chat interface, developers can ask questions about their codebase, request code fixes, or get contextual assistance, making the coding experience more interactive and dynamic.

Start Working with Cursor

To start using Cursor:

Visit the official Cursor website and download the IDE.
Follow the instructions in the documentation for migrating from VS Code, which helps import your settings, extensions, and preferences.
Get acquainted with Cursor's features, such as AI-based code assistance, by reading the Cursor documentation for in-depth guides and usage tips.

Edit on GitHub

Cursor AI technology page Hackathon projects

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

Eido an Autonomous startup builder

Eido is an AI-native autonomous startup builder designed to run the early-stage founder workflow end-to-end. It continuously discovers real-world problems by analyzing online communities, structures them into validated opportunities, and generates complete MVP plans including architecture, tech stack, and feature scope. Using an autonomous build loop, Eido converts prompts into code, runs projects inside a sandbox environment, detects errors, and self-corrects until deployment succeeds. Once live, Eido publicly documents its progress, gathers feedback, and performs structured investor outreach. Feedback signals are parsed and fed back into its internal scoring system to improve future decisions. Each MVP is tokenized to simulate market validation and community-backed prioritization. Eido is not a chatbot — it is a persistent, self-improving startup factory built to experiment, iterate, and evolve continuously.

ScopeSynth OS - The Cyborg Agency Engine

The Problem: The Margin Bleed & Financial Hallucinations The agency software market is fragmented. Agencies rely on glorified document editors that don't calculate scope, or lazy AI wrappers that guess project hours, causing financial hallucinations. Relying on manual guesswork or unpredictable LLMs means agencies routinely lose 20% of profit margins, while clients dispute vague paperwork. The Solution: ScopeSynth OS ScopeSynth OS brings computer science to agency sales. It's an end-to-end Cyborg OS built to automate the agency pipeline with mathematical proof. By blending Generative AI (persuasion, market research, case studies) with Deterministic Algorithms (pricing), we eliminate the paperwork struggle. The result is Mathematically bulletproof Statements of Work (SOWs) and customisable invoices. How It Works (The Cyborg Architecture): We enforce a strict boundary between deterministic math and AI: • AST Algorithm Superiority: Users input a nested Markdown feature list. Our custom Node.js backend parses it into an Abstract Syntax Tree (AST). It mathematically assigns billable hours based on node depth (e.g., Epic=10h, Task=2h), calculates the agency rate, and injects local taxes (18% GST) with 100% deterministic accuracy. Zero hallucinations. • BYOK AI Persuasion: Using a zero-trust "Bring Your Own Key" model, users temporarily paste their OpenAI/Gemini key in-memory to dynamically generate Executive Summaries and Case Studies. • Trackable Assembly: The OS merges the AI pitch and AST math into a flawless, downloadable PDF SOW and trackable invoice mechanism. The Business Model & Tech Stack- Unlike bloated Enterprise SaaS pricing around $50 per month per user, ScopeSynth OS is a lean micro-SaaS at $5-$20/month per firm license. It is built entirely using custom Complete.dev Agents swarm with "SOW Logic Engine" (math) and the "Pitch Architect" (BYOK integration & UI).

ClawAudit - The Autonomous Web3 DevSecOps Agent

In recent years, billions have been drained from Web3 protocols due to smart contract exploits. Traditional manual audits cost tens of thousands of dollars and take weeks to complete, leaving developers exposed. Code is money, and current defense systems are too slow. ClawAudit Sentinel solves this by democratizing blockchain security through "Shift-Left" automation. Built natively on OpenClaw and powered by Gemini 2.5 Pro, ClawAudit acts as an autonomous, real-time immune system directly inside the developer's workflow. Operating as a native CI/CD pipeline agent, ClawAudit intercepts GitHub Pull Requests to perform deep static analysis. It goes beyond flagging vulnerabilities—it explains the exact exploit scenario and autonomously comments securely patched code directly onto the PR (Auto-Remediation). To interface with the outside world, we engineered a complete DevSecOps alert pipeline using custom OpenClaw skills: Secure Paging: Instantly routes a detailed vulnerability breakdown to the on-call developer via Telegram. Dual-Memory Architecture: Posts a sanitized, zero-knowledge cryptographic receipt to Moltbook ( for eg here the 'lablab' submolt), logging the audit publicly without exposing the zero-day flaw. The B2B SaaS Vision: I have tried building a scalable business for the Surge ecosystem. ClawAudit operates as a metered API gateway, allowing Web3 companies to inject our agent into their repositories for continuous security scanning billed per execution. ClawAudit is designed to be the scalable future of Web3 security and DeFi tools giving the developers the power to focus on solutions and not trials.

ClawBoardGames

"ClawBoardGames is an on-chain board games platform built for OpenClaw AI agents. It aims to be the main arena where agents compete in classic board games with provably fair rules and on-chain settlement. The platform supports three games: Monopoly, Chess, and Avalon(Upcoming). In Monopoly, four agents play in real time with provably fair dice, on-chain deposits, and winner payouts. In Chess, agents play FIDE-standard games with optional MON, BNB, or SOL wagers. Avalon adds social deduction with hidden roles for agents and humans. ClawBoardGames runs on multiple chains—Solana, BNB Chain, and Monad—so agents can choose their preferred network. Each game uses smart contracts for escrow and settlement, so payouts are trustless and transparent. Agents connect via the ClawBoardGames SDK or raw WebSocket, implement their own strategies, and compete for tokens. Humans can spectate live games and follow matches in real time. The platform is designed to be the main destination for AI agents that want to play board games on-chain.

Fleet Bridge

FleetBridge: See All Your Robots in One Place That Ocado warehouse fire in 2023? $110M in damage because robots from different companies couldn't see each other. FleetBridge fixes that. Live map shows all 24 robots at once—Amazon, Balyo, Gemini, all on one screen. Click any robot and see everything: battery, current job, where it's been, errors. Robots move smoothly with zoom, pan, zone overlays. When two are about to crash, you get a red line between them. Send one to charge and watch the animated path appear. Just type questions instead of clicking through menus. "Which robots are low on battery?" "What's happening in Zone B?" Simple stuff answers instantly. Complex questions route to Gemini with full context—positions, tasks, alerts, everything. No more cryptic vendor codes. The system translates all errors across manufacturers. Balyo's "OBSTACLE_TIMEOUT" = Amazon's "E-2002". Click any error for actual fix steps with checkboxes you complete before clearing it. Assign tasks by picking from 13 warehouse presets or typing naturally: "Move inventory from Zone A to Station 5." AI handles the details. Analytics show which robots work hardest, vendor performance comparisons, congestion hotspots. Alert feed catches issues before they cause damage—collision warnings, traffic jams, low batteries, blocked paths. Real-time updates every 500ms. The backend simulates realistic warehouse ops—movement, battery drain, auto task assignments, random errors. Chat panel for deeper conversations with the AI. Path visualization windows showing robot trails and destinations. Error knowledge base with cross-vendor translations and remediation guides. One dashboard replaces three vendor systems. No switching screens. Just clear fleet visibility.

OpsTwin AI

OpsTwin AI is a simulation-first autonomous warehouse control system designed to model and optimize multi-robot fulfillment operations. As warehouses adopt robotics at scale, fleet coordination becomes increasingly complex. Congestion, battery constraints, task prioritization, and workload balancing impact throughput and efficiency. OpsTwin AI addresses this by creating a digital twin of warehouse operations, a live simulation where robotic workflows can be orchestrated, tested, and optimized before real-world deployment. In OpsTwin AI, robots operate within a simulated warehouse grid containing storage racks, charging stations, and pack zones. When a new order is created, the system autonomously determines which robot should fulfill it. Instead of relying on hardcoded rules, I use Gemini as a strategic planning layer. The backend sends live fleet state, including robot positions, battery levels, and active tasks, to Gemini. Gemini returns structured JSON with a selected robot and step-by-step task sequence. This allows deterministic execution while enabling adaptive multi factor decision making. The Vultr-hosted backend serves as the centralized system of record. It maintains robot state, order queues, and operational metrics, and broadcasts real-time updates to a web dashboard using WebSockets. A 500 millisecond simulation loop executes plans, updates robot movement, tracks congestion events, and manages battery-aware charging. The result is fully autonomous multi-robot operation without manual intervention. From a business perspective, OpsTwin AI functions as an operational control tower for robotic fleets, enabling teams to simulate workflows, evaluate performance, and reduce deployment risk before scaling to physical infrastructure. By separating AI planning from deterministic execution, the architecture mirrors real world robotics systems and provides a clear path from simulation to real-world deployment.