AI-Powered Development

Meet BeyoAgent

Not just a chat. A real build loop with G-Codes, WebLLM, and multi-AI orchestration. Buildup Mode refactors your entire codebase in minutes. Storez-aware context. Apply-all patches.

G-Codes v7 WebLLM PuterJS Buildup

Buildup Mode

One command. Entire project transformed.

BeyoAgent reads your entire project, understands the architecture, and applies intelligent changes across all files. Perfect for large refactoring, adding features, or transforming your codebase in minutes.

📂

Full Project Reading

Analyzes every file to understand architecture, patterns, dependencies, and your coding conventions before making changes.

🔀

Multi-File Patching

Generate patches for multiple files simultaneously. See exactly what will change before applying with granular control.

🎯

Selective Application

Review each patch individually. Choose which ones to apply. Hit Apply All for instant multi-file updates.

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Storez-Aware Context

Agent reads all project files before responding, so every patch is aware of your architecture, naming conventions, and existing logic.

       Full audit + fix
       Dark mode
       Security
       Responsive
       Add tests
       README
    

G-Codes System

A 5-phase pipeline, not just a chat

G-Codes is a structured multi-AI workflow orchestrated across 5 phases. Instead of one model doing everything, each phase specializes — planning, writing, reviewing, fixing, and validating — before changes reach your files.

Planner

Breaks prompt into sub-tasks. Analyzes codebase. Plans file changes to prevent conflicts.

Coder

Writes code with full project context. Respects patterns and architecture.

Reviewer

Finds bugs, security issues, and violations before code reaches your repo.

Fixer

Fixes every issue found. Loops until clean patches or cap reached.

Validator

Final quality check. Confirms everything works and is production-ready.

How G-Codes Works In Detail

Phase G0: Smart Planning

When you submit a prompt, G0 doesn't jump to writing. It breaks down your request into atomic sub-tasks, reads your entire project structure through Storez, identifies all files that need changes, understands dependencies, and plans the execution order to prevent cascading conflicts.

Parses user intent and requirements
Reads full project context via Storez
Identifies affected files and dependencies
Plans execution order to avoid conflicts

Phase G1: Code Generation

With full context ready, G1 generates code. The system selects the most appropriate AI model (Claude, GPT-4o, Gemini, or WebLLM) and crafts a precise prompt. Code generation respects Storez context for consistency across your entire codebase.

Selects optimal AI model for the task
Generates code with full project context
Respects naming conventions and patterns
Emits structured patches for all changes

Phase G2: Critical Review

Generated code doesn't go directly to your files. G2 thoroughly analyzes it for bugs, security issues, performance problems, and best practice violations. This phase catches issues before they reach production.

Scans for logic errors and edge cases
Checks for security vulnerabilities
Identifies performance bottlenecks
Validates style and best practices

Phase G3: Intelligent Fixing

Based on G2 feedback, G3 automatically fixes every identified issue. It applies advanced patterns, improves performance, refactors for clarity, adds comprehensive error handling. This feedback loop repeats until all issues are resolved.

Addresses all G2 findings automatically
Applies advanced coding patterns
Refactors for clarity and performance
Adds error handling and validation

Phase G4: Quality Validation

Final validation ensures code meets all quality standards. G4 performs structural checks, verifies imports work, confirms functions exist, checks for broken references. Only code passing all validations is marked ready.

Performs final structural validation
Verifies all imports and dependencies
Confirms no broken references
Issues deployment-ready certificate

Why BeyoAgent

Not another AI chat. A real build loop.

Most AI coding tools read one file, return one block of text, and leave merging to you. BeyoAgent is different. It's built into Beyoneer IDE with deep integration.

Multi-file context

Manual

Auto Storez

Patch application

Copy-paste

Apply All

Review & fix loop

None

G2 → G3

Quality validation

Maybe

G4 Always

Works offline

WebLLM

IDE built-in

Separate

Integrated

Core Technology

WebLLM + PuterJS

BeyoAgent combines browser-native AI with native file system access for complete privacy and seamless development.

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WebLLM

Run quantized language models (Llama, Mistral, Phi) in your browser. No backend, complete privacy, works offline.

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PuterJS

Secure access to native file systems and cloud storage. Read, write, sync projects instantly.

🔐

Privacy First

Your code stays on your machine. WebLLM runs locally, PuterJS manages files. Complete data sovereignty.

⚡

Instant Sync

Changes sync instantly to file system via PuterJS. Real-time bidirectional sync with perfect harmony.

WebLLM: Browser-Native AI

How WebLLM Works

WebLLM brings MLC (Machine Learning Compiler) technology to browsers. Models are quantized to 4-8 bit precision for efficiency. They run entirely in browser using WebGPU and WebAssembly. No server communication needed - complete offline capability. Models are cached locally after first download.

Models run entirely in browser using WebGPU
Complete offline capability after initial download
4-bit and 8-bit quantization for speed without quality loss
Privacy: Your data never leaves your machine
Zero telemetry or data collection

Supported Models

WebLLM supports optimized open-source models for inference speed. Choose based on your needs.

Llama 2 7B: Balanced quality and speed, excellent for code
Mistral 7B: Highly efficient, faster than Llama
Neural Chat 7B: Optimized for dialogue and assistance
Phi Models: Ultra-lightweight for resource-constrained devices

PuterJS: File System Integration

Native File Access

PuterJS bridges browsers with native OS capabilities. Provides secure APIs for full file system access, making Beyoneer IDE behave like a true desktop application while maintaining web security.

Read, write, create, delete files with permission control
Directory operations and file hierarchy management
Real-time file change monitoring and event listeners
Cloud storage integration (Google Drive, Dropbox, OneDrive)
Secure user-granted permissions model

Buildup + PuterJS

Buildup Mode uses PuterJS to read entire projects, apply patches, and maintain sync with file system. This creates seamless development where everything stays synchronized.

Reads entire project structure for G-Codes context
Applies multi-file patches instantly across your project
Auto-syncs changes to file system in real-time
Monitors external changes and updates IDE automatically

FAQ

Frequently Asked Questions

Everything you need to know about BeyoAgent, G-Codes, WebLLM, and how it all works together.

BeyoAgent is an AI-powered development assistant built into Beyoneer IDE with deep integration. Unlike regular AI assistants, BeyoAgent uses the G-Codes pipeline - a 5-phase workflow where multiple AI models work together. It reads your entire project via Storez, generates patches for multiple files, and applies changes instantly. It's not just a chat - it's a real build loop.

G-Codes orchestrates 5 specialized phases: G0 (Planning), G1 (Implementation), G2 (Review), G3 (Fixing), and G4 (Validation). Each phase has a specific role. Instead of one model doing everything, we get better results by specialization and feedback loops. G2 identifies issues, G3 fixes them, and the loop repeats until all issues are resolved.

Storez is BeyoAgent's context management system. It tracks metadata about your entire project - file structure, dependencies, naming conventions, architectural patterns. When G0 runs, it reads Storez to understand your full codebase. This allows all phases to make changes aware of your entire project, preventing conflicts and ensuring consistency.

Yes! BeyoAgent supports WebLLM - models that run directly in your browser without cloud backend. Download a local model (Llama 2, Mistral, Phi) and use it completely offline. Your code never leaves your machine. Models are cached locally and work without internet after initial download. Perfect for sensitive projects or development without internet access.

BeyoAgent supports: Claude (Anthropic), GPT-4o (OpenAI), Gemini (Google), and local WebLLM models (Llama, Mistral, Phi). You can switch between them per prompt. For Buildup Mode, select the full G-Codes pipeline which orchestrates multiple models. Each model has different strengths - choose based on your specific task.

Buildup Mode: 1) Select your project, 2) Choose model, 3) Describe what you want, 4) G-Codes pipeline runs, 5) Review patches, 6) Click "Apply All" or select individual patches. PuterJS instantly applies changes to your file system. You can handle large refactoring tasks in minutes that would take hours manually.

BeyoAgent works with any text-based file: JavaScript, TypeScript, Python, HTML, CSS, JSON, XML, SQL, and more. Special support for React, Vue, Node.js, Django, Flask. Also works with markdown, config files, and documentation. It understands code semantics, so it makes intelligent changes across different languages and technologies.

Depends on the model. With WebLLM (local models), your code never leaves your machine - complete privacy. With cloud models (Claude, GPT-4o, Gemini), code is sent to their servers. For sensitive code, use WebLLM. Review privacy policies of providers. You choose which model to use.

Yes! BeyoAgent never overwrites without approval. You always see patches before applying them. Review each change, select which to apply, or reject entirely. Use version control (Git) to revert changes. Recommend committing before large Buildup Mode tasks so you can easily see diffs and revert if needed.

Small projects (under 10 files): 2-5 minutes. Medium projects (10-100 files): 5-15 minutes. Larger projects: varies. G-Codes runs sequentially through 5 phases, so there's a trade-off between quality and speed. Use faster WebLLM models for quick iterations, or cloud models for higher quality on complex tasks.

Yes! Buildup Mode works great with existing projects. It reads your entire codebase, understands conventions, and makes changes respecting existing architecture. Common use cases: adding dark mode, refactoring to modern JavaScript, migrating frameworks, adding security, improving performance, or complete UI overhauls.

Yes! BeyoAgent is fully responsive and works on mobile and tablets. Interface adapts to smaller screens with touch-friendly controls. WebLLM works on mobile (depending on device RAM). Full Buildup Mode features work on mobile too. For best mobile experience, use cloud models (faster than local models on resource-constrained devices).

Be specific: instead of "make it better", try "add dark mode using CSS variables". Provide context: "React 18 with TypeScript". Commit code first so you can see diffs. Start with smaller tasks to understand G-Codes. Use WebLLM for privacy, cloud models for complex tasks. Review patches before applying to understand changes.