
CodeOptiX
๐ Agentic Code Optimization & Deep Evaluation
The universal code optimization engine for AI coding agents.
Powered by ๐งฌ GEPA โข ๐ธ Bloom โข ๐ ACP
โก Powered By
Three revolutionary technologies that make CodeOptiX the ultimate coding agent optimizer
GEPA
Genetic-Pareto Evolution
Advanced optimization algorithm that automatically improves agent prompts through evolutionary techniques.
Bloom
Scenario Generation Engine
Intelligent test case creation that generates comprehensive scenarios for thorough evaluation.
ACP
Agent Client Protocol
Quality bridge for editors - Zed, JetBrains, Neovim, VS Code. Multi-agent orchestration & routing.
๐ฐ The AI Code Quality Challenge
AI coding agents are impressive, but their output often hides critical issues
Should You Ship That AI Code?
AI agents generate impressive code, but how do you know it's secure, well-tested, and meets your requirements?
Hidden Security Vulnerabilities
SQL injection, XSS, hardcoded secrets - AI-generated code often contains security issues that slip past review.
Tests That Test Nothing
Empty assertions, trivial tests, missing edge cases - AI agents often write tests that always pass but catch nothing.
Requirements Drift
The code looks good but doesn't match the plan. Features are missing, APIs don't match, architecture deviates.
๐ Key Capabilities
Everything you need for superior coding agent experience
Deep Behavioral Evaluation
Comprehensive testing against security, reliability, and quality behaviors
GEPA Optimization Engine
Genetic-Pareto Evolution for automatic agent improvement
Bloom Scenario Generation
Intelligent test case creation for thorough evaluation
Multi-Agent Support
Works with Claude Code, Codex, Gemini CLI, and custom agents
Multi-Provider LLM Support
OpenAI, Anthropic, Google, and Ollama (local models included!)
CI/CD Integration
Automated quality gates and GitHub Actions support
๐ก๏ธ 3 Built-in Behaviors
Detect security vulnerabilities, test quality issues, and requirements drift out of the box
Security Vulnerabilities
Detects security issues in AI-generated code
โ Detects:
- Hardcoded secrets & API keys
- SQL injection vulnerabilities
- XSS vulnerabilities
- Insecure authentication
- Exposed credentials
$ codeoptix eval --behaviors insecure-codeTest Quality Analysis
Identifies low-quality and vacuous tests
โ Detects:
- Tests with no assertions
- Trivial tests that always pass
- Missing edge cases
- Incomplete coverage
- Meaningless test cases
$ codeoptix eval --behaviors vacuous-testsRequirements Alignment
Detects deviations from planning artifacts
โ Detects:
- Missing planned features
- Unaddressed requirements
- API contract violations
- Architecture mismatches
- Spec deviations
$ codeoptix eval --behaviors plan-drift --context plan.json๐ How It Works
A continuous cycle of observation, evaluation, reflection, and evolution
Observe
Capture agent behavior - code, tests, and traces
Evaluate
Measure against configurable specifications
Reflect
Generate actionable insights on failures
Evolve
Optimize prompts using GEPA
โจ Key Features
Comprehensive capabilities for every coding agent workflow
Agent-Agnostic
Works with any coding agent
- Claude Code
- Codex (GPT-5.2)
- Gemini CLI
- ACP-compatible agents
- Custom agents
Behavior-Agnostic
Modular behavior specifications
- insecure-code - Security
- vacuous-tests - Test quality
- plan-drift - Requirements
- Custom behaviors
Self-Improving
Evolves agent prompts using GEPA
- Automatic optimization
- Iterative improvement
- Performance tracking
- Reflective mutation
Deep Evaluations
Comprehensive behavioral analysis
- Multi-modal evaluation
- Bloom-style scenarios
- Root cause analysis
- Actionable insights
Multiple Usage Modes
Use CodeOptiX how you want
- Local Check
- CI/CD Mode
- ACP Integration
- Standalone API
Reproducible
All evaluations are versioned
- Results tracking
- Reflection reports
- Evolution history
- Artifact management
๐ฅ See CodeOptiX in Action
Watch how CodeOptiX evaluates, optimizes, and improves AI-generated code quality in real-time.
๐ฅ Who Uses CodeOptiX?
Built for developers and teams who demand quality from AI coding agents
Solo Developers
๐ฌ "I generated code with AI. Should I ship it?"
โ Solution:
- Quick quality checks
- Security scanning
- Test validation
- Multi-LLM critique
codeoptix eval --agent claude-code --behaviors insecure-codeEngineering Teams
๐ฌ "We need consistent quality gates for AI code"
โ Solution:
- Automated CI/CD gates
- PR-level enforcement
- Team-wide standards
- Behavioral optimization
codeoptix ci --agent codex --behaviors insecure-code --fail-on-failureSecurity Teams
๐ฌ "We need automated security validation"
โ Solution:
- Security scanning
- Behavior testing
- Agent optimization
- Metrics & reporting
codeoptix ci --agent claude-code --behaviors insecure-code,vacuous-tests๐ Why CodeOptiX?
The Agent Experience tool that makes AI coding agents reliable
Agentic Code Optimizer
Automatically evaluates, tests, and optimizes code from any coding agent using GEPA and Bloom.
When You're Ready
Run CodeOptiX after completing a feature. No need to integrate into every step.
Works with Any Agent
Don't lock yourself in. Works with Claude Code, Codex, Gemini CLI, and any ACP agent.
Continuous Improvement
Evolve your agent prompts automatically using GEPA for better results over time.
โก Get Started in 30 Seconds
No API key required with Ollama! ๐
Option A: Ollama (Free, No API Key!)
Perfect for local development and privacy-conscious teams.
# Start Ollamaollama serve# Install and run CodeOptiXpip install codeoptixcodeoptix eval --agent basic --behaviors insecure-code --llm-provider ollamaOption B: Cloud Provider
Use more powerful models from OpenAI, Anthropic, or Google.
# Set your API keyexport OPENAI_API_KEY="sk-your-key"# Install and run CodeOptiXpip install codeoptixcodeoptix eval --agent basic --behaviors insecure-code --llm-provider openai๐ Supported LLM Providers:
๐ ACP Integration
Quality bridge for editors - Zed, JetBrains, Neovim, VS Code and more
๐ Quality Bridge
# Start the quality bridgecodeoptix acp bridge \ --agent-name claude-code \ --auto-eval \ --behaviors "insecure-code,vacuous-tests,plan-drift"- Automatic code extraction
- Real-time quality evaluation
- Quality reports with scores
- Recommendations
โ๏ธ Multi-Agent Judge
# Use different agents for generation vs judgmentcodeoptix acp judge \ --generate-agent claude-code \ --judge-agent grok \ --prompt "Write a secure API endpoint"- Separate generation & judgment
- Code extraction from both
- Combined evaluation
- Intelligent orchestration
๐ข CodeOptiX Enterprise
Custom behaviors and integrations for your team. Make your coding agents safe, reliable, and secure.
๐ Open Source
Free and open source on GitHub
3 Built-in Behaviors:
- ๐insecure-code - Security vulnerabilities
- ๐งชvacuous-tests - Test quality issues
- ๐plan-drift - Requirements alignment
๐ Enterprise
Custom behaviors and integrations for your team
Enterprise Security
Custom security behaviors
Custom Integrations
Seamless tool integration
Expert Support
Dedicated consulting
Advanced Analytics
Detailed reporting
๐ Enterprise Integrations
๐ DevOps
Jenkins, GitHub, GitLab CI, CircleCI
๐ Project Mgmt
Jira, Monday.com
๐ฌ Communication
Slack, Teams, Discord
๐ Monitoring
DataDog, New Relic, Grafana
๐ Version Control
GitHub Enterprise, GitLab, Bitbucket
๐ Secure Your AI Future Today
Stop shipping insecure, untested, off-plan code. Let CodeOptiX ensure your AI coding agents deliver quality.
Built by Superagentic AI - Advancing AI agent optimization and autonomous systems.
