Code Canvas Complete

Code Canvas Complete is an advanced, browser-based All-In-One IDE that transforms how you build, test, and deploy applications. By combining a professional editor, a persistent AI assistant, and a massive suite of specialized tools—from Arduino prototyping to media production—we eliminate the friction of tool switching and environment configuration.

⚡ Quick Start

Ready to build? Get productive in minutes:

1. Import: Connect your GitHub/GitLab/Bitbucket repo or start from a template.
2. Configure: Securely manage environment variables in the Environment manager.
3. Run: Use the built-in terminal to install dependencies (npm install) and start your development server (npm run dev).
4. Automate: Leverage the AI agent for your first task (e.g., "Add loading states to this component").
5. Ship: Use our integrated Git and Deployment tools to publish your project with ease.

Need more guidance? Check out our Getting Started guide.

🚀 How We Compare

Code Canvas combines the best of cloud IDEs, AI generators, and specialized engineering tools into a single workspace.

View Chart

Feature	Code Canvas	Replit	Lovable	Bolt.new	Bolt	Cursor	v0	Codeium Superposition	Windsurf	Zed	CodeSandbox	Gitpod	Firebase	Trae
Development Environment
Full browser IDE	✅	✅	⚠️	❌	⚠️	❌	❌	✅	❌	❌	✅	✅	✅	❌
Local install available	❌	❌	❌	❌	❌	✅	❌	✅	✅	✅	❌	❌	❌	✅
Multi-file editing	✅	✅	✅	❌	✅	✅	❌	✅	✅	✅	✅	✅	✅	✅
Syntax highlighting	✅	✅	⚠️	❌	✅	✅	❌	✅	✅	✅	✅	✅	✅	✅
Find & replace project	✅	✅	❌	❌	❌	✅	❌	✅	✅	✅	✅	✅	✅	✅
Visual canvas / whiteboard	✅	⚠️	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌
Terminal & Runtime
Full PTY terminal	✅	✅	❌	❌	⚠️	✅	❌	✅	✅	✅	✅	✅	✅	✅
Run code in browser	✅	✅	✅	✅	✅	❌	❌	✅	❌	❌	✅	✅	✅	❌
Live app preview	✅	✅	✅	✅	✅	❌	⚠️	✅	❌	❌	✅	✅	✅	❌
Package installation	✅	✅	⚠️	❌	✅	✅	❌	✅	✅	✅	✅	✅	✅	✅
AI Capabilities
Multi-provider AI	✅	⚠️	❌	❌	❌	⚠️	❌	⚠️	❌	⚠️	❌	❌	❌	⚠️
AI chat with context	✅	✅	✅	✅	✅	✅	❌	✅	✅	✅	✅	❌	✅	✅
AI image generation	✅	⚠️	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌	⚠️	❌
AI video generation	✅	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌	❌
Bring your own API key	✅	❌	❌	❌	❌	✅	❌	✅	✅	✅	❌	❌	❌	✅
Inline autocomplete	⚠️	✅	❌	❌	❌	✅	❌	✅	✅	✅	⚠️	⚠️	✅	✅
Collaboration
Real-time multiplayer	✅	✅	❌	❌	❌	❌	❌	❌	❌	✅	✅	❌	❌	❌
Public sharing / forking	✅	✅	⚠️	❌	❌	❌	⚠️	❌	❌	❌	✅	✅	❌	❌
Live chat & video rooms	✅	❌	❌	❌	❌	❌	❌	❌	❌	⚠️	❌	❌	❌	❌
Deployment & Hosting
One-click publish	✅	✅	✅	✅	✅	❌	✅	❌	❌	❌	✅	❌	✅	❌
Custom domain support	✅	✅	✅	✅	⚠️	❌	✅	❌	❌	❌	✅	❌	✅	❌
Static site hosting	✅	✅	✅	✅	✅	❌	✅	❌	❌	❌	✅	❌	✅	❌
Edge functions / Serverless	❌	✅	✅	✅	❌	❌	✅	❌	❌	❌	❌	❌	✅	❌
Deployment Types (Cloud Production)
Autoscale infrastructure	❌	✅	✅	✅	❌	❌	✅	❌	❌	❌	⚠️	❌	✅	❌
Live Container Server / Dedicated VM	❌	✅	❌	❌	❌	❌	❌	❌	❌	❌	✅	✅	❌	❌
Scheduled Deployments (Cron)	❌	✅	❌	❌	❌	❌	❌	❌	❌	❌	❌	⚠️	✅	❌
Backend & Data Integration
Built-in / Managed Database	❌	✅	✅	✅	❌	❌	❌	❌	❌	❌	❌	❌	✅	❌
Managed Auth System	❌	✅	✅	✅	❌	❌	❌	❌	❌	❌	❌	❌	✅	❌
File / Blob Storage Orchestration	❌	✅	✅	✅	❌	❌	❌	❌	❌	❌	❌	❌	✅	❌
Security & Privacy
Open source	✅	❌	❌	❌	⚠️	❌	❌	❌	❌	✅	❌	⚠️	❌	❌
Self-hostable	✅	❌	❌	❌	❌	❌	❌	❌	❌	✅	⚠️	✅	❌	❌
Offline / PWA mode	✅	❌	❌	❌	❌	✅	❌	❌	✅	✅	❌	❌	❌	✅
Passkey / WebAuthn	✅	❌	❌	❌	❌	❌	❌	✅	❌	❌	❌	❌	❌	❌
Granular team policies	✅	⚠️	❌	⚠️	❌	❌	❌	✅	❌	❌	⚠️	✅	⚠️	❌
Performance & Speed
Instant startup	✅	✅	✅	✅	✅	✅	✅	❌	✅	✅	⚠️	❌	❌	✅
Native-speed editor	✅	⚠️	✅	❌	⚠️	✅	❌	⚠️	✅	✅	⚠️	⚠️	⚠️	✅
Low-end device support	✅	✅	✅	✅	⚠️	❌	✅	⚠️	❌	❌	⚠️	✅	⚠️	❌

Legend: ✅ Supported | ⚠️ Partial/Limited | ❌ Not Available

Code Canvas provides a professional development environment entirely in your browser, powered by the WebContainers API and Supabase for backend services.

View Workspace Features

• Multi-file Editing: Full-featured IDE interface with tabs, split views, and a hierarchical file tree.
• WebContainer Integration: Run Node.js, bash, and shell commands directly in your browser with near-native performance.
• Advanced Workbench: Integrated tools for professional development including:
  • Minimap & Sticky Scopes: Enhanced navigation for large files.
  • Multi-cursor Column Editing: Block mode editing for aligned data.
  • Global Search & Replace: Powerful regex-based search and replace across the entire project with live impact preview.
• Git & Version Control:
  • Git Panel: Built-in UI for commits, branching, and repository management.
  • Provider Integration: Seamlessly connect and sync with GitHub, GitLab, and Bitbucket.
  • Diff Viewer: Side-by-side comparison of file changes.
• Package Management: Easy dependency installation (npm, yarn, pnpm) with a dedicated management panel.
• Environment Manager: Securely manage, encrypt, and scope .env variables for different environments (Preview, Shared, Production).

🤖 AI-Powered Intelligence

Code Canvas features an advanced AI agent designed for full-stack autonomous development.

View Detailed AI Agent Capabilities

🛠️ Core AI Agent Tools

• File System Control: Create, read, update, move, and delete files/folders across the workspace.
• Persistent Shell Execution: Run complex shell commands, install packages, and manage processes directly through the terminal.
• Git Operations: Initialize repos, branch, commit, push, pull, and manage complex merge conflicts autonomously.
• Project Workflows: Execute multi-step build, test, and deploy pipelines.
• Contextual Awareness: Understands code, docs, hardware setups, and media assets in the current project context.

🧠 Intelligent Features

• Multi-Model Support: Compare side-by-side outputs from OpenAI, Anthropic, Gemini, and more.
• Autonomous Modes: Choose from Safe (human-in-the-loop), Balanced (auto-gated), or Fast (fully autonomous) modes.
• AI Code Review: Per-line suggestions with severity ratings and one-click acceptance.
• Interactive Widgets: Rich UI components rendered directly in chat (e.g., Code Review, Regex Tester, Dependency Visualizer).
• Explain-on-Hover: Instant AI-powered explanations for symbols, functions, or complex code blocks.
• Multimodal Generation: Generate media (images/audio) for mockups and documentation assets.

🧩 MCP & Agent Skills

Extend your AI's capabilities with custom protocols and specialized personas.

How to use MCP (Model Context Protocol)

Model Context Protocol (MCP) allows the AI to connect to external tools and data sources.

1. Navigate to the MCP & Skills panel in the sidebar.
2. Click Add Server under the MCP Servers tab.
3. Provide a Name, URL (e.g., https://mcp.example.com), and optional API Key.
4. Toggle the server to Enabled to give the AI access to its tools.

How to use Agent Skills

Agent Skills are custom "personas" or instruction sets that guide the AI's behavior.

1. Open the MCP & Skills panel and select the Agent Skills tab.
2. Click Add Skill to create your own, or browse the Library for presets. Browse and search over 10,000+ community AI skills from ai-skills.io powered by Firecrawl.
3. Define the Name, Icon, and Instructions (e.g., "Always use Tailwind utility classes for styling").
4. When enabled, the AI will prioritize these instructions in every interaction.

💻 Persistent Shell & Terminal

Code Canvas offers a professional-grade, persistent terminal environment, ensuring your workflows remain uninterrupted.

View Shell & Execution Features

• Full Terminal Access: A browser-based terminal emulator with support for standard Linux commands, shell scripts, and build tools.
• State Persistence: Your environment remains active across sessions. Installed packages (npm/pip), file system changes, and process states (background servers/watchers) are persisted.
• Multi-Terminal Support: Open and manage multiple terminal instances simultaneously for parallel tasks (e.g., running a dev server in one, tests in another).
• Container-Backed Execution: Powered by secure, containerized runtimes, providing a near-native environment for your projects.
• Integration with AI: The AI agent can read terminal output, run commands to diagnose errors, and perform automated fixes based on execution results.
• API for Advanced Automation: Interact with the environment via POST /sessions and POST /execute endpoints.

API Specification & Execution Modes

The execute-code service handles routing to different execution environments:

• Executor Modes:
  • wandbox: Standard sandboxed execution.
  • container: Full persistent container runner.
  • hybrid: Routes shell and python to containers while keeping others sandboxed.

API Reference

• POST /sessions: Initialize a new persistent session.
• POST /execute: Run commands within a specific sessionId to maintain state (e.g., across pip install commands).

Custom Shell Runner Example

// Example of a compatible Shell Runner API
app.post('/sessions', (req, res) => {
  const sessionId = uuidv4();
  const shell = pty.spawn('bash', [], { name: 'xterm-color', cwd: process.env.HOME });
  // ... session management logic
  res.json({ sessionId });
});

app.post('/execute', (req, res) => {
  const { sessionId, command } = req.body;
  // ... execute in virtual terminal
  res.json({ output: session.getOutput() });
});

🛠️ Specialized Editors & Tools

Editor Capabilities Deep Dive

Our specialized editors are designed to bridge the gap between ideation, implementation, and verification, all within the same unified workspace.

🛠️ Hardware & Prototyping

• Arduino IDE: Professional-grade sketch environment. Includes AVR/ESP board profiles, live compile diagnostics, and virtual breadboarding to simulate hardware interactions before flashing firmware.
• CAD Editor: Parametric-inspired design tool. Build mechanical parts and enclosures while keeping design specifications and manufacturing handoff notes versioned alongside your application code.

🎨 Visual & Creative

• Scratch Integration: Visual logic for rapid gameplay and interaction prototyping. Perfect for modeling user flows and logic branching before writing production code.
• 3D Editor: Built-in scene composition. Transform, rotate, and scale 3D assets in a web-first workspace, ideal for game concepting, product mockups, and real-time visualization.
• Media Suite: Integrated timeline-based audio and video editors. Create tutorials, demos, and release videos without leaving your codebase context.

📊 Data & Documentation

• Office Suite: Full-featured document and spreadsheet editing. Maintain architecture specs (Word), sprint/test matrices (Excel), and stakeholder presentations (PowerPoint) as project artifacts.
• Database Designer: Visual schema modeling. Plan entities and relationships (ERD) visually to generate clean, production-ready SQL migrations.

🧪 API & Orchestration

• API Playground: High-velocity testing for REST and GraphQL endpoints. Validate your API contracts and debug responses iteratively while editing your service implementations.
• Workflows Panel: Visual orchestration of your build, test, and deploy pipelines. Define, trigger, and inspect multi-step automation sequences to ensure consistent quality standards.
• Extensions Panel: Build and manage private IDE helpers. Create your own widgets, commands, or AI chat-tool runtimes to tailor your development environment to your team's unique workflows.

Arduino IDE — Board Setup, Coding, Sim, and Upload

Deep Dive: Professional Hardware Workflows

• Unified Build Environment: Skip local toolchain conflicts. Our cloud-integrated AVR/ESP compiler ensures consistent binary generation across your team, with precise control over memory profiles, clock speeds, and upload protocols (USB/OTA/Serial).
• Interactive Virtual Prototyping: Accelerate the hardware-software feedback loop using our grid-aligned virtual breadboard. Validate logic, component wiring, and sensor integration before deploying to physical hardware, reducing hardware wear and accidental short-circuits.
• Firmware Diagnostics & Failure Analysis: Get granular feedback during compile and flash failures. Our system maps low-level hardware errors directly to your code and suggests specific adjustments, whether it's a baud rate mismatch, memory overflow, or pin assignment conflict.
• Collaborative Template Management: Standardize your hardware architecture by creating and sharing project-wide templates. Easily bundle pin mappings, library dependencies, and configuration presets, ensuring team-wide consistency for complex IoT projects.

What you can do

• Create .ino sketches with syntax highlighting, snippets, and live diagnostics.
• Target AVR and ESP boards from a guided board selector.
• Run compile checks before upload to catch errors earlier.
• Flash firmware through USB, OTA, and supported wireless flows.
• Prototype circuits in a virtual breadboard with components and wires.
• Save and share hardware project templates across your team.

Board + upload capabilities

• AVR tooling support with avrdude style workflows.
• ESP upload flows powered by esptool/espota paths.
• Board presets for common memory, clock, and upload profiles.
• Auto-detection hints for ports and device-family compatibility.
• Progress UI for compile and upload phases.
• Failure diagnostics with next-step suggestions.

Breadboard visualizer features

• Drag-and-drop component palette (sensors, LEDs, motors, displays, modules).
• Wire mode with pin-to-pin snapping.
• Delete/select interaction modes.
• Grid-aligned placement for fast cleanup.
• Sim-centric circuit composition for rapid idea testing.
• Helpful empty/error states for beginners.

AI-assisted hardware workflows

• “Generate starter sketch for ESP32 temperature logger.”
• “Add debounce logic to my button handling.”
• “Explain why compile fails on this board profile.”
• “Refactor this sketch into modular helper functions.”
• “Create a test matrix for sensors and expected values.”
• “Walk me through OTA flashing safely.”

Best for

• Rapid prototyping.
• Education and workshops.
• Embedded proof-of-concepts.
• Sensor + actuator demos.

Scratch Integration — Visual Logic & Architectural Prototyping

Deep Dive: Visual Logic Engineering

• Architectural Modeling: Move beyond simple animations. Use block logic to map complex event-driven workflows, state machines, and data transitions before committing to high-level language implementations.
• Interdisciplinary Bridge: Provide non-technical stakeholders (PMs, designers) with a functional "sandbox" of the project's core logic. This enables early-stage feedback loops without requiring code review, significantly reducing late-stage refactoring.
• Logic Verification: Leverage the visual environment to debug complex branching and edge-case behaviors. The deterministic nature of block-based execution makes it ideal for visualizing the "happy path" versus failure states in user interaction flows.

What you can do

• Build with drag-and-drop visual programming blocks.
• Prototype gameplay and interaction logic quickly.
• Switch between block-first and code-adjacent ideation.
• Use sprites and scenes to model user flows.
• Iterate with beginner-friendly feedback loops.
• Share visual concepts with non-technical stakeholders.

Key Scratch workflows

• Event-driven logic blocks for input and state transitions.
• Motion, looks, and control stacks for scene behavior.
• Variables/lists for lightweight state management.
• Sound-trigger interactions for richer demos.
• Multi-sprite orchestration for game-like projects.
• Fast concepting before production implementation.

AI-assisted ideas

• “Convert this gameplay idea into block logic steps.”
• “Design a beginner tutorial level mechanic.”
• “Add scoring and win/loss conditions.”
• “Explain this block script in plain language.”
• “Suggest accessibility improvements for young learners.”
• “Generate lesson prompts using this project.”

Best for

• Education.
• Interactive storytelling.
• Product walkthrough mockups.
• Early gameplay mechanics.

3D Editor — Real-Time Scene Composition & Asset Pipeline

Deep Dive: 3D Workspace Integration

• Asset-First Development: Seamlessly manage 3D model dependencies, textures, and lighting configurations alongside your code and build scripts. Eliminate file-path headaches and external tool syncing by keeping assets natively versioned.
• Scene-Level Iteration: Perform rapid layout testing and camera framing within the IDE. This minimizes the "import/export/preview" cycle, allowing for real-time adjustments of visual assets in their target environment.
• Optimization for Real-Time: Use the editor to stress-test your scene hierarchy, manage object hierarchies, and plan LOD (Level of Detail) strategies, ensuring your 3D experiments remain performant on web platforms.

What you can do

• Build and edit 3D scenes directly in the IDE.
• Move, rotate, and scale objects with familiar controls.
• Organize assets for game, web, or product visualization.
• Generate 3D content from text prompts.
• Iterate with AI-assisted scene composition.
• Export assets for downstream use.

Scene editing features

• Object selection and transform handles.
• Basic hierarchy/scene organization patterns.
• Camera/navigation controls for inspection.
• Iterative layout for prototypes and demos.
• Asset-first workflows for design + engineering teams.
• Integrated environment with code and media tabs.

AI-assisted 3D workflows

• “Generate a low-poly desk setup.”
• “Create a sci-fi crate asset with clean silhouette.”
• “Suggest better lighting composition for this scene.”
• “List optimization ideas for real-time rendering.”
• “Generate naming conventions for scene objects.”
• “Plan LOD strategy for these models.”

Best for

• Product mockups.
• Game asset concepting.
• Web 3D experiments.
• Rapid visual prototyping.

Media Suite — Professional Production & Developer Relatable Media

Deep Dive: Production-Grade Media Workflows

• Contextual Media Pipeline: Keep audio clips, video raw-assets, and final exports co-located with your source code. This ensures that every changelog, tutorial, or demo remains aligned with the feature state it represents.
• Timeline-Driven Editing: Utilize non-linear editing (NLE) tools within the IDE to perform precise cuts, sequencing, and audio mastering. This eliminates context-switching between specialized media software and your IDE, keeping your production workflow within the same environment as your implementation.
• Documentation-Media Synergy: Streamline your DevRel and documentation efforts by creating chapter markers, syncing voice-overs with code walkthroughs, and generating assets that update alongside project versions.

What you can do

• Edit audio and video without leaving the project.
• Keep media assets next to source code and docs.
• Use timeline-based operations for quick cuts.
• Prepare demos, tutorials, and social clips faster.
• Align media output with product release workflows.
• Combine AI prompt generation with manual edits.

Audio editor features

• Track-level editing for common audio tasks.
• Clip trimming and arrangement workflows.
• Iterative content prep for podcasts/voiceovers.
• Utility edits for product explainers.
• Fast access from same IDE sidebar context.
• Useful for devrel and documentation teams.

Video editor features

• Clip sequencing and basic cut workflows.
• Intro/outro + short-form assembly patterns.
• Visual prep for release notes and changelogs.
• Quick corrections to tutorial content.
• Project-local asset iteration.
• No tool-switch penalty for engineering teams.

AI-assisted media workflows

• “Generate a storyboard for this feature demo.”
• “Write a 30-second script for release notes video.”
• “Draft chapter markers from this transcript.”
• “Suggest pacing improvements for this timeline.”
• “Create caption copy in concise style.”
• “Turn this changelog into social post copy.”

Best for

• Launch videos.
• Internal demos.
• Tutorial production.
• Developer marketing.

Office Suite — Integrated Technical Documentation & Planning

Deep Dive: Data-Driven Project Governance

• Integrated Documentation Hub: Maintain high-value artifacts like PRDs, RFCs, and troubleshooting runbooks in an environment that bridges planning and implementation. Links documentation directly to source code, ensuring that project specs evolve alongside the codebase.
• Tabular Project Planning: Utilize spreadsheet views to manage complex data like feature matrices, test-case coverage, and sprint milestones. This data is kept live and linked to the source tree, making it easy to generate automated reports or dashboards from your structured project metadata.
• Engineering-Focused Presentation: Draft and refine stakeholder presentations (PowerPoint) within the same workspace as your technical specs. Re-use project-native assets, source code snippets, and design references directly in your decks to create highly accurate documentation and communication assets.

What you can do

• Open and edit document formats in the same workspace.
• Build specs, planning docs, and status updates fast.
• Maintain slide decks beside implementation tasks.
• Use spreadsheet views for planning and lightweight analysis.
• Keep technical docs versioned with project code.
• Share office-style artifacts without app switching.

Word + rich text workflows

• Draft PRDs, RFCs, runbooks, and onboarding docs.
• Apply consistent formatting inside the IDE.
• Capture architecture notes during implementation.
• Convert rough notes into polished documentation.
• Pair with AI summarization for speed.
• Keep context tied to code changes.

Excel workflows

• Manage feature matrices and test plans.
• Track estimates, staffing, and milestones.
• Compare options with tabular scorecards.
• Build quick dashboards for project health.
• Maintain structured data close to code.
• Export/share as needed.

PowerPoint workflows

• Create stakeholder updates and demos.
• Build engineering architecture presentations.
• Maintain release recap decks.
• Turn changelogs into slides quickly.
• Collaborate with teams in one place.
• Reuse assets from project files.

AI-assisted office tasks

• “Summarize this spec into an executive brief.”
• “Generate a rollout timeline slide structure.”
• “Create risk table from these tickets.”
• “Rewrite this memo for non-technical audience.”
• “Turn this sprint data into a narrative update.”
• “Draft a troubleshooting appendix section.”

Best for

• Product planning.
• Team communication.
• Executive reporting.
• Training materials.

CAD Editor — Mechanical Design & Parametric Thinking

Deep Dive: Engineering Design Integration

• Parametric Design Workflow: Move beyond static design files. Our CAD environment encourages parametric thinking, allowing for iterative refinements and quick layout adjustments that can be instantly synced with your hardware configuration and firmware requirements.
• Cross-Discipline Synchronization: Link your mechanical designs and enclosure specs directly with firmware pin-outs and electronic design requirements. This tight coupling reduces mechanical/electronic collisions, ensuring your enclosure designs account for all physical hardware components.
• Design Review Feedback Loops: Foster clearer collaboration by reviewing design models, stress tests, and enclosure concepts within the same workspace as the application code, creating a single source of truth for all project stakeholders.

What you can do

• Build CAD-style models inside the same IDE session.
• Iterate with quick tool switching and previews.
• Explore concepts before formal manufacturing pipelines.
• Keep design references near firmware/app code.
• Prototype enclosure and mechanical ideas rapidly.
• Review models collaboratively with team context.

CAD workflow highlights

• Quick tool access for common geometry tasks.
• View mode switching for design inspection.
• Iterative loop between concept and refinement.
• Local project integration for assets and notes.
• Fast feedback cycles with AI explanation support.
• Cross-discipline collaboration in one workspace.

AI-assisted CAD tasks

• “Suggest tolerances checklist for this part.”
• “Create a design review rubric.”
• “Explain potential stress points in simple terms.”
• “Generate naming standards for part versions.”
• “Draft manufacturing handoff notes.”
• “List test scenarios for fit validation.”

Best for

• Hardware enclosures.
• Mechanical ideation.
• Design-review prep.
• Cross-functional collaboration.

Database Designer — Visual ERD & Schema-as-Code

Deep Dive: Schema Engineering & Validation

• Visual Data Modeling: Plan table structures, constraints, and relational mappings (one-to-many, etc.) in a high-fidelity visual workspace. This helps align backend/frontend expectations early, reducing ambiguity and improving data integrity during schema design.
• Migration Handoff: Effortlessly export your validated schema as production-ready SQL migration scripts. This automated transition ensures that your visual plans are perfectly represented in your database implementation, reducing human error.
• Data Contract Governance: Use the model as a source of truth for all API contracts and data-related logic within the app. Changes in the visual model can be immediately reconciled with existing code and documentation, ensuring consistent data handling across your entire tech stack.

What you can do

• Model entities and relationships visually.
• Design schemas before writing migration code.
• Export production-ready SQL from diagram-first planning.
• Align app data modeling with team discussion.
• Validate shape of data before implementation.
• Document constraints and table intent clearly.

Schema planning features

• ERD-like structure for tables and relations.
• Relationship mapping for one-to-many and beyond.
• Planning-friendly workflow for collaborative design.
• SQL handoff ready for implementation phases.
• Better visibility into evolving data models.
• Reduced ambiguity across backend/frontend teams.

AI-assisted database workflows

• “Generate initial schema for multi-tenant SaaS.”
• “Review this model for normalization issues.”
• “Suggest indexes for top query paths.”
• “Explain tradeoffs between UUID and serial ids.”
• “Create migration rollout checklist.”
• “Draft seed data strategy for staging.”

Best for

• New backend architecture.
• Legacy schema modernization.
• Data contract reviews.
• Performance planning.

API Playground — High-Velocity Contract & Integration Testing

Deep Dive: Contract-First Development

• Iterative API Validation: Seamlessly test REST/GraphQL endpoints as you code. Perform real-time validation of your request/response payloads within the same workspace as your service implementation, drastically shortening debugging cycles.
• API Documentation as Code: Keep your API playground configurations and request patterns versioned as project artifacts. This serves as a "living" documentation set that others can import, run, and experiment with, ensuring your test cases are as current as your source code.
• Reproducible Bug Triage: Save complex request states—including custom headers, auth context, and payload variables—to easily reproduce and debug edge-case failures across different environments, streamlining integration testing and QA collaboration.

What you can do

• Test REST and GraphQL endpoints from inside the IDE.
• Iterate on API contracts while editing code.
• Validate request/response shapes quickly.
• Debug auth, headers, and payload structures.
• Keep endpoint tests close to implementation.
• Share repeatable API testing patterns.

Core API workflows

• Compose and run HTTP requests.
• Validate JSON output and error payloads.
• Compare endpoint behavior across versions.
• Reproduce bugs with saved request patterns.
• Check schema behavior in GraphQL queries.
• Shorten backend debugging loops.

AI-assisted API tasks

• “Generate test cases for this endpoint.”
• “Convert this cURL command into readable docs.”
• “Explain why this response is 422.”
• “Create GraphQL query variants for edge cases.”
• “Draft contract test checklist.”
• “Suggest pagination strategy improvements.”

Best for

• Backend testing.
• Integration debugging.
• API documentation.
• QA collaboration.

Workflows Panel — Visual Pipeline Orchestration & CI/CD

Deep Dive: Automation Engineering

• Visual Workflow Construction: Orchestrate multi-step build/test/deploy actions through a intuitive interface rather than complex configuration files alone. Create named pipelines that mirror your actual deployment stages, making automation transparent, maintainable, and easy to audit.
• State-Aware Execution: Easily re-run specific workflow steps as your project state evolves. This provides a lightweight CI/CD-style environment where developers can quickly iterate on pipeline configurations, test rollbacks, or troubleshoot failures without external dependencies.
• Consistency-by-Design: Standardize your automation strategy team-wide by embedding workflow configurations directly in the project. This ensures that every developer—regardless of experience level—can execute release-ready tasks with predictable results and standardized security/linting gates.

What you can do

• Create project workflows with visual steps.
• Automate repetitive build/test/deploy actions.
• Re-run workflows as project state evolves.
• Keep automation config in the same workspace.
• Combine manual and scheduled patterns.
• Improve consistency across contributors.

Workflow builder capabilities

• Define named workflows with command steps.
• Support run/build/test/deploy style stages.
• Trigger via manual or contextual events.
• Inspect run history for troubleshooting.
• Iterate quickly with editor-side feedback.
• Align with CI-style behavior locally.

AI-assisted automation tasks

• “Create a lint + test + build pipeline.”
• “Add rollback-safe deploy checklist steps.”
• “Optimize this workflow for faster feedback.”
• “Generate branch-based workflow strategy.”
• “Draft environment variable audit steps.”
• “Explain failed step and suggest fixes.”

Best for

• Team standards.
• Release safety.
• Developer productivity.
• CI/CD rehearsal.

Extensions Panel — Custom IDE Runtimes & Tooling Adapters

Deep Dive: Platform Engineering

• Custom IDE Runtimes: Empower your team by scaffolding private IDE extensions—whether they're simple command-line helpers, complex UI widgets for internal dashboards, or custom chat-tool runtimes that extend the AI's capabilities.
• Project-Native Tooling: Prototype and build IDE helpers right next to the code they manipulate. This co-location drastically reduces the friction of platform-team maintenance and ensures that internal tooling can iterate at the same velocity as your product.
• AI-Aware Adapters: Design extensions specifically to guide the AI assistant, providing it with custom tool adapters, specialized data interfaces, or domain-specific logic that it can leverage to perform more intelligent, context-aware assistance.

What you can do

• Create custom IDE extensions in-project.
• Choose runtime style: widget, command, or chat-tool.
• Build private helpers for your team.
• Prototype utilities directly next to your app.
• Package reusable workflows for repeated tasks.
• Extend AI behavior with focused tool adapters.

Extension runtime options

• Widget runtime: UI tools inside the IDE panel.
• Command runtime: action-style commands for workflows.
• Chat-tool runtime: assistant-callable tools with scoped behavior.
• Runtime-aware development surfaces for faster iteration.
• Built-in placement in project workflow.
• Strong fit for internal platform teams.

AI-assisted extension tasks

• “Scaffold a chat-tool for schema summaries.”
• “Create a widget for environment validation.”
• “Build command extension for release tagging.”
• “Write docs for this extension manifest.”
• “Generate test prompts for extension quality.”
• “Refactor extension code for maintainability.”

Best for

• Internal tooling.
• Team accelerators.
• Custom AI affordances.
• Platform engineering.

All Editors Together — Why This Matters

Unified environment advantages

• Keep source code, docs, hardware, and media in one place.
• Reduce context switching across disconnected tools.
• Maintain a single AI assistant context across domains.
• Collaborate with shared project artifacts and history.
• Shorten time from idea to prototype to delivery.
• Support education, startups, and enterprise teams alike.

AI + editor synergy

• Ask for help in the exact domain tab you are using.
• Generate artifacts (code/docs/media) and apply immediately.
• Convert planning notes into implementation tasks.
• Tie automation and testing into day-to-day editing.
• Use model comparison before committing major changes.
• Scale from solo prototyping to team governance.

Typical end-to-end flow

1. Plan in docs/spreadsheets.
2. Implement in code editor.
3. Validate in API playground.
4. Automate in workflows panel.
5. Prepare demo assets in media tools.
6. Ship with built-in Git and share actions.

👥 Teams & Enterprise Collaboration

Code Canvas is designed for team-scale productivity and oversight.

View Team & Collaboration Features

• Team Administration: Manage members, roles, and set granular spending limits for AI usage.
• Shared Policies: Enforce security and coding standards across the entire team.
• Real-time Pairing: Collaborative editing with live cursor presence and WebRTC-powered Voice/Video rooms.
• Session Recordings: Capture and replay coding sessions for audits, debugging, or training.
• Collaboration Tools:
  • Context Pins: Pin symbols or files with notes for your team.
  • Code Review Threads: Threaded feedback synced to specific lines of code.
  • Project Bookmarks: Share named hotspots across the project for fast context switching.
• Analytics Tab: Monitor team spending and resource usage in real-time.

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🌐 Deployment & Cloud Development

Select your preferred method for deploying or developing Code Canvas Complete.

Deploy to Vercel

1. Push your repository to GitHub, GitLab, or Bitbucket.
2. In the Vercel Dashboard, click New Project and import the repository.
3. Vercel will auto-detect the Vite framework.
4. Build Settings:
   • Build Command: npm run build
   • Output Directory: dist
5. Environment Variables: Add your VITE_SUPABASE_URL and VITE_SUPABASE_ANON_KEY.
6. Click Deploy.

Note: Supabase Edge Functions must be deployed separately using the Supabase CLI.

Deploy to Replit (One-Click)

1. Create a new repl from the GitHub repository on Replit.

2. Select Github, then input: https://github.com/TopProjectsCreator/code-canvas-complete.

3. Replit Agent will handle the environment setup.

4. For production mode:

   npm run build
   npm run preview -- --host 0.0.0.0 --port 3000

Note: To open the preview in a new window, click the pop-out icon in the top right.

Deploy to Koyeb

1. In Koyeb, create a new Web Service.
2. Connect your GitHub repository.
3. Configure the service:
   • Build Command: npm run build
   • Run Command: npm run preview -- --host 0.0.0.0 --port $PORT
4. Add required environment variables in the App Settings.
5. Deploy the service.

Deploy to Lovable

Coming soon! We are finalizing the GitHub Actions and documentation for a seamless remix-and-publish experience. Get ready for the easiest deploy yet!

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💻 Local Development

1. Install Dependencies: npm install
2. Environment: Create a .env file with VITE_SUPABASE_URL and VITE_SUPABASE_ANON_KEY.
3. Run Dev: npm run dev

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📄 License & Contributing

Licensed under license.md. Contributions are welcome! See CONTRIBUTING.md.