At WJG Solutions, we pioneer software and web development through our Model Context Protocol (MCP) server development, transforming development workflows by seamlessly integrating autonomous agents with new and existing codebases, delivering unprecedented productivity gains, cost saving and code quality improvements while maintaining compatibility with established development practices.

Autonomous Agent Development

Our agent development methodology follows a computer use approach. We implement custom template and context generation with adaptive memory management, allowing agents to maintain coherent mental models across extended interactions.

AI Gateways

We leverage advanced AI gateway solutions to orchestrate and manage autonomous agent interactions. Our gateway infrastructure provides intelligent routing, load balancing, and context management across multiple LLM providers, ensuring optimal performance and reliability for agent-driven workflows.

Tools

Our development workflow is powered by cutting-edge AI coding assistants:

Cline - An autonomous coding agent that can edit files, run commands, and use the browser to accomplish complex development tasks
Roo Code - Advanced AI pair programming assistant with deep codebase understanding and multi-file editing capabilities

Frontier Models

We integrate cutting-edge frontier models from leading AI research labs, providing access to the most advanced reasoning and code generation capabilities available:

GPT-5 - OpenAI's next-generation model with enhanced reasoning and multi-modal capabilities
Claude 4 - Anthropic's advanced model with extended context windows and superior code understanding
Gemini Ultra - Google's most capable model with native multimodal processing
o3 - OpenAI's reasoning-focused model optimized for complex problem-solving tasks

Open Source Models

We leverage state-of-the-art open source language models to power our autonomous agents, providing flexibility, cost-effectiveness, and full control over our AI infrastructure:

Qwen3 - High-performance multilingual model with exceptional reasoning capabilities
gpt-oss - Open source GPT implementation optimized for code generation and analysis
DeepSeek Coder - Specialized coding model with strong performance on complex programming tasks
CodeLlama - Meta's open source model fine-tuned for code understanding and generation

Custom Inference Improvements

We implement advanced inference optimization techniques and custom modifications to open source inference engines, significantly improving performance, quality, and efficiency:

Advanced Decoding Strategies

Beam Search
MCTS (Monte Carlo Tree Search)
Speculative Decoding

Optimized Inference Engines

vLLM
llama.cpp
tinygrad
mistral.rs

Benchmarking

We maintain rigorous benchmarking practices to ensure our autonomous agents deliver optimal performance across diverse development tasks:

Code Quality Metrics - Automated evaluation of code correctness, maintainability, and adherence to best practices
Task Completion Rates - Tracking success rates across different complexity levels and programming languages
Performance Testing - Measuring response times, token efficiency, and resource utilization
Comparative Analysis - Regular evaluation against industry benchmarks like HumanEval, MBPP, and SWE-bench

Software Development