Today, Superagentic AI thrilled to announce CodeOptiX, a universal code optimization engine built by Superagentic AI for the new era of AI coding agents. As AI coding assistants like Claude Code, OpenAI Codex, and Gemini CLI become integral to modern software development, a critical question emerges: How do we ensure the code these agents generate is secure, reliable, and aligned with our requirements?

CodeOptiX answers this question with a comprehensive solution that combines deep behavioral evaluation, intelligent optimization, and seamless integration into your existing workflows. Whether you are a solo developer using Claude Code for your side projects, a team lead integrating AI agents into your CI/CD pipeline, or an enterprise architect ensuring code quality across hundreds of repositories, CodeOptiX provides the optimization layer you need.

The Problem: AI Coding Agents Need Guardrails

AI coding agents are powerful, but they are not perfect. They fix one thing breaks many others. Without proper evaluation and optimization, they can introduce:

Security Vulnerabilities

Hardcoded secrets, SQL injection risks, XSS vulnerabilities, and insecure authentication patterns that can compromise your entire application.

Vacuous Tests

Missing assertions, trivial test cases, coverage gaps, and meaningless test scenarios that give false confidence in code quality.

Plan Drift

Requirements misalignment, deviations from plans, missing features, and extra features that were never requested by stakeholders.

These issues are real problems that development teams face every day when working with AI coding agents. The faster these agents generate code, the faster these problems can compound if left unchecked.

What is CodeOptiX?

CodeOptiX is a universal code optimization engine that provides deep evaluations and optimization for AI coding agents. Built by Superagentic AI, CodeOptiX combines three powerful technologies:

GEPA – Genetic-Pareto Evolution

Advanced optimization algorithm that evolves agent prompts through natural language reflection and genetic optimization to systematically improve agent performance.

Bloom – Scenario Generation Engine

Intelligent test case generation that creates comprehensive evaluation scenarios, ensuring thorough coverage of edge cases and potential failure modes.

ACP – Agent Client Protocol

A quality bridge that connects CodeOptiX with popular editors including Zed, JetBrains IDEs, Neovim, and VS Code for seamless integration.

How CodeOptiX Works: The Four-Stage Workflow

CodeOptiX operates through a powerful four-stage workflow that transforms raw agent output into optimized, production-ready code:

1. Observe

Capture agent behavior including code, tests, and execution traces in real-time

2. Evaluate

Measure against configurable specifications for security, reliability, and quality

3. Reflect

Generate insights on failures with detailed root cause analysis and recommendations

4. Evolve

Optimize prompts using GEPA to systematically improve agent performance over time

Built-in Behaviors: Ready-to-Use Evaluations

CodeOptiX ships with three powerful built-in behaviors that address the most common quality concerns in AI-generated code:

insecure-code

Detects security vulnerabilities that could compromise your application or expose sensitive data.

• Hardcoded secrets detection
• SQL injection risk analysis
• XSS vulnerability scanning
• Insecure authentication patterns

vacuous-tests

Identifies low-quality tests that provide false confidence in code quality and reliability.

• Missing assertions detection
• Trivial test case identification
• Coverage gap analysis
• Meaningless scenario flagging

plan-drift

Detects requirements misalignment and ensures the agent stays on track with your specifications.

• Deviation from plan detection
• Missing feature identification
• Extra feature flagging
• Requirements alignment scoring

Three Ways to Use CodeOptiX

Mode 1: Local Check

Run evaluations after completing features during local development. Perfect for individual developers who want immediate feedback on their AI-generated code.

codeoptix eval \
  --agent claude-code \
  --behaviors insecure-code \
  --llm-provider openai

Mode 2: CI/CD Integration

Automated quality gates for teams. Integrate CodeOptiX into your GitHub Actions, GitLab CI, or any CI/CD pipeline to catch issues before they reach production.

codeoptix ci \
  --agent codex \
  --behaviors insecure-code \
  --fail-on-failure \
  --output-format summary

Mode 3: ACP Integration

Editor-integrated quality bridge for real-time feedback. Connect CodeOptiX directly to your IDE through the Agent Client Protocol for seamless workflow integration.

# Register CodeOptiX as an ACP service
codeoptix acp register

# Start the quality bridge with auto-evaluation
codeoptix acp bridge --agent-name claude-code --auto-eval

Multi-Agent, Multi-Provider Support

CodeOptiX is designed to work with any AI coding agent and LLM provider. Our universal adapter architecture ensures seamless integration:

Supported Agents

• Claude Code (Anthropic)
• Codex CLI (OpenAI)
• Gemini CLI (Google)
• ACP-compatible agents
• Custom agents via adapters

Get Started with CodeOptiX

Installing CodeOptiX is simple. Choose your preferred method:

# Using pip
pip install codeoptix

# Using uv (recommended for faster installation)
uv pip install codeoptix

Run your first evaluation in seconds with Ollama

ollama pull llama3.1:8b
ollama serve

# Run a quick security check 

codeoptix eval --agent basic --behaviors insecure-code --llm-provider ollama

CodeOptiX Demo

 

Open Source and Enterprise

CodeOptiX is available in two editions to serve developers and organizations of all sizes:

Open Source (Apache 2.0 License)

• All built-in behaviors
• CLI and Python API
• Multi-agent support
• CI/CD integration
• Community support

View on GitHub

Enterprise (For Organizations)

• Everything in Open Source
• Custom behavior development for your business that keep you secure and safe from coding agent mess.
• Advanced GEPA optimization for your coding agents
• On-premise deployment

Start Optimizing Your AI Code and Improve Coding Agent Experience.

At Superagentic AI, we believe that the future of software development is agentic. AI coding agents are collaborators that can dramatically accelerate our ability to build software. But with great power comes great responsibility. CodeOptiX ensures that as we embrace this new paradigm, we do so with the guardrails necessary to maintain quality, security, and alignment. We are building tools and frameworks for AI agents to improve the Agent Experience.

We are excited to share CodeOptiX with the world and look forward to building the future of agentic coding together with the community. Whether you are just getting started with AI coding agents or you are already running them at scale, CodeOptiX is here to help you ship better code, faster. Let us know if you need to implement CodeOptiX in your organization.