Recover from AI-generated technical debt, secure your infrastructure, and establish proper AI coding guidelines for sustainable development.
Establish clear, effective system prompts and guidelines (like .cursorrules) to ensure high-quality, consistent AI output for your team.
Audit and refactor AI-generated codebases to improve maintainability, remove hallucinations, and ensure best practices.
Identify and fix infrastructure misconfigurations, security gaps, and cost inefficiencies introduced by AI suggestions.
Review AI-generated solutions for hidden vulnerabilities and ensure compliance with industry standards and security policies.
We analyze your existing AI-generated code and infrastructure to understand the extent of technical debt and potential risks.
Identify and prioritize critical security vulnerabilities, hallucinations, and operational bottlenecks for immediate remediation.
Refactor code to meet engineering standards and fix infrastructure configurations to ensure stability and security.
Create robust system instructions and guardrails to prevent future issues and ensure AI tools work for you, not against you.
Train your team on proper AI usage patterns and establish governance policies to maintain code quality over time.
Turn spaghetti AI code into professional, structured, and typed software that your team can actually maintain and extend.
Eliminate hidden vulnerabilities and dangerous defaults often suggested by AI tools in infrastructure-as-code.
Get better results from your AI tools with proper context setup, reducing the need for constant corrections and cleanup.
Don't let AI technical debt slow you down. Let's clean up your codebase and set you up for success.