AI - Chat

SleekByte's AI chat is a fully agentic assistant that understands your snippet structure and can perform complex operations automatically. Unlike simple chatbots that just answer questions, this AI can read your files, create complete snippets, and call tools to help you build and maintain your WordPress code.

Understanding the agentic approach

The term "agentic" means the AI can take autonomous actions on your behalf. When you ask for something, it doesn't just provide advice—it actually performs the work. This intelligent system can analyze your existing code, understand your project structure, and make informed decisions about how to implement your requests.

Automatic context discovery

When you start a new conversation without any specific files selected, the AI becomes your project detective. It automatically examines your snippet collection to understand what you're working with, then uses this information to provide contextually relevant assistance.

The AI follows this process:

Scans your snippet directory to understand your current project structure
Analyzes existing patterns in your code organization and naming conventions
Determines optimal placement for new snippets based on your existing setup
Creates coordinated solutions that fit seamlessly with your current codebase

For example, if you simply ask "Create a login redirect snippet," the AI will first explore your existing snippets to see if you already have authentication-related code, check how you typically organize your files, and then create a new snippet that fits seamlessly with your existing patterns.

Intelligent operation levels

The AI adapts its approach based on what you're asking for, working at different levels of granularity:

Complete snippet creation

Generates entire feature structures with organized PHP, CSS, and JavaScript files
Creates proper snippet.json configuration
Follows your existing organizational patterns
Implements WordPress coding standards

Targeted file modifications

Makes specific changes while preserving existing code structure
Maintains your coding style and patterns
Updates only what's necessary for the requested changes
Keeps file relationships and dependencies intact

Smart code organization

Understands SleekByte's file conventions
Follows WordPress best practices
Organizes code logically within your existing structure

Working with context

Context is what makes the AI truly powerful. By understanding which files you're working with, it can provide much more targeted and useful assistance.

Adding individual files

When you right-click a file in the file browser to add it to your chat context, you're telling the AI "focus on this specific piece of code." The AI gains several important capabilities:

Understands the file's purpose and role in your project
Sees relationships to other parts of your codebase
Maintains consistency with your existing code patterns
Provides targeted assistance specific to that file's functionality

This approach is particularly useful when you're debugging a specific issue or want to enhance a particular file without affecting the broader codebase.

Working with complete snippets

Adding an entire folder to the context gives the AI a comprehensive view of a complete feature. When all files in a snippet folder are included, the AI automatically recognizes:

PHP logic and functionality across all your PHP files
CSS styling and design patterns in your stylesheets
JavaScript interactions and behaviors in your scripts
Configuration settings in your snippet.json file
File relationships and how they work together

With this holistic understanding, the AI can make coordinated changes across multiple files while ensuring everything works together properly.

Benefits of proper context

With the right context, the AI becomes remarkably effective at:

Maintaining consistency across your entire codebase
Learning your coding patterns and preferred approaches
Preserving naming conventions and organizational structures
Making changes that feel natural rather than foreign to your existing code

Error resolution made simple

One of the most powerful features is the ability to send errors directly from SleekByte to the AI chat. When you encounter an error, instead of trying to debug it yourself, you can right-click the file in the file browser and select "Fix Error" to send it to the AI along with the relevant file context.

The AI doesn't just look at the error message—it analyzes the error within the full context of your WordPress environment and SleekByte setup. This comprehensive analysis includes:

WordPress function availability at different hooks
Common WordPress development pitfalls and their solutions
SleekByte configuration issues in snippet.json files
File relationship problems that might cause conflicts
Performance considerations for the proposed fixes

Understanding AI tool calls

Every action the AI takes is completely transparent. When it creates files, modifies code, or performs any operation, you can expand the tool call details to see exactly what happened and why.

What tool call details show you

Arguments used

Exact parameters passed to each function
File paths and content being created or modified
Configuration options selected

Results returned

Success or failure status of each operation
Files created or modified
Any warnings or notes about the changes

Learning from AI decisions

The tool call transparency serves multiple purposes:

Educational value - See WordPress and SleekByte best practices in action
Debugging assistance - Understand what went wrong if something doesn't work
Process understanding - Learn how complex operations are broken down
Quality verification - Review changes before they're applied

Enhanced communication with file uploads

Modern development often involves translating designs into code, following specifications, or adapting existing solutions. SleekByte's AI can work with various file types to bridge these gaps effectively.

Supported file types and use cases

Images

Design mockups and UI screenshots for implementation
Error screenshots for debugging context
Wireframes and layout guidance
Style reference materials

Documents

PDF specifications and requirements
Feature descriptions and project documentation
Style guides and brand guidelines
Technical documentation from other projects

Code Files

Reference implementations to adapt
Configuration examples to replicate
Code snippets to improve or modernize

How the AI processes uploads

Visual design analysis When you upload design files, the AI can extract valuable information:

Color schemes and palettes for CSS generation
Layout structures for HTML organization
Typography choices for font and spacing decisions
UI component identification for implementation planning

Document processing The AI processes text-based documents to understand:

Project requirements and feature specifications
Technical constraints and implementation guidelines
Style preferences and coding standards
Integration requirements with existing systems

Practical upload examples

Design-to-code workflow

Here's a design mockup (upload image). Create a snippet that implements this login form with the same styling and layout.

The AI will analyze the design, extract visual elements, and generate a complete snippet with proper HTML structure, matching CSS styles, and any necessary JavaScript interactions.

Specification implementation

Use this requirements document (upload PDF) to create a WooCommerce integration snippet.

The AI will read the specifications, understand the requirements, and create a structured implementation that follows the documented specifications.

Best practices for effective AI collaboration

Getting great results from the AI is about communication and context management. The more effectively you can convey your needs and provide relevant information, the better the assistance you'll receive.

Be specific about your goals

Instead of: Fix the checkout
Try: Add error handling to the WooCommerce checkout process when payment gateways fail

Provide implementation context

Mention any specific WordPress plugins or themes you're working with
Describe any custom functionality that might be relevant
Explain any constraints or requirements for the solution

Iterate gradually

Start with basic functionality and request enhancements
Build complex features step by step
Test each iteration before adding more complexity