Make your AI-built system ready for dependable business use.

Vibe coding with tools such as ChatGPT, Claude Code, Cursor and Codex has made it much faster to develop working systems.

Rapidly built systems can still have gaps that matter in business use: missing specifications or tests, security issues, complicated code and incomplete operational processes.

APASYS supports AI-built systems from technical assessment and requirements documentation through security improvements, quality assurance, production migration and ongoing maintenance.

Does This Sound Familiar?

• You have built a system with AI but are unsure whether it is ready to launch
• The system works, but you are concerned about its security or quality
• Fixing one feature causes problems elsewhere
• The code has become too complicated to extend
• There are no specifications or design documents explaining the whole system
• Only the original developer can make changes
• You are unsure whether AWS or server settings are appropriate
• You have concerns about handling personal or customer data
• You want to keep using AI to develop, but do not know how to maintain quality
• The developer is no longer available and you need someone to take over maintenance

We assess these systems and put the foundations in place for continued business use and improvement.

Our Services

1. AI-Built System Assessment

We review the system technically and identify its issues and improvement priorities.

Assessment Areas

• System architecture
• Source code quality
• Code duplication and complexity
• Technologies, libraries and external services
• Database structure
• Authentication and access management
• API design
• Security
• Existing test coverage
• Logging, monitoring and backups
• Open-source licenses
• Maintainability and scalability
• Risks in production use

Deliverables

• System assessment report
• Risk and issue register
• Improvement priorities
• Recommended approach
• Indicative remediation costs

Based on the findings, we recommend whether to continue using the system, make targeted changes or rebuild all or part of it.

2. Specifications & Documentation

We review screens, behavior and source code to document the current system.

Scope of Work

• Document the system overview
• Create a function inventory
• List screens and map navigation flows
• Document business workflows
• Define users and permissions
• Create API inventories and specifications
• Prepare database definitions
• Document external integrations
• Create infrastructure diagrams
• Write operating procedures

We work with you to establish which features are needed rather than treating every existing behavior as a requirement.

3. Security Assessment & Remediation

AI-generated code and configurations may contain weaknesses in authentication, permissions or secrets management.

We review the system, source code and cloud environment, then implement the security measures needed for business use.

Scope of Work

• Review source code security
• Check web and API vulnerabilities
• Review authentication and authorization
• Control access to administration interfaces
• Manage API keys, passwords and secrets
• Address XSS and CSRF risks
• Review cookies, sessions and JWTs
• Review file upload functions
• Check CORS settings
• Review errors and log output
• Review AWS, Azure and GCP configurations
• Encrypt data
• Remove unnecessary public exposure

For systems handling personal or customer information, we also review data storage, access, deletion, logging and transfers to external AI services.

4. Testing & Quality Improvement

We establish a test environment and quality controls so the system can be improved safely while preserving existing functionality.

Scope of Work

• Develop a test plan
• Test normal and error scenarios
• API testing
• Role-based access testing
• Cross-browser and device testing
• Load testing
• Regression testing
• Introduce automated tests
• Introduce end-to-end tests
• Prepare test data
• Verify quality before release

Beyond fixing individual bugs, we create checks that help prevent future changes and new features from breaking existing behavior.

5. Code Organization & Refactoring

We make complex code easier for other engineers to understand and maintain.

Scope of Work

• Remove duplicate code
• Remove unused code
• Split oversized files
• Consolidate shared logic
• Separate frontend, API and database responsibilities
• Standardize naming and folder structure
• Standardize error handling
• Standardize logging
• Externalize configuration
• Add type definitions
• Improve API design
• Organize database access code
• Replace custom implementations with standard libraries
• Establish coding standards

The aim is not simply less code, but a structure that is easier to change, less prone to breakage and maintainable over time.

6. Production Infrastructure & Cloud Migration

We move systems from development environments or local PCs into environments suitable for production operations.

Scope of Work

• Migrate to AWS, Azure, GCP or other cloud platforms
• Build servers and networks
• Containerize with Docker
• Separate development, staging and production
• Configure domains and SSL
• Build CI/CD pipelines
• Migrate databases
• Configure backups
• Document recovery procedures
• Collect logs
• Configure monitoring and alerts
• Configure WAF and firewall rules
• Document release and rollback procedures
• Optimize cloud costs

We prepare not only for launch, but also for recovery when incidents occur.

7. Operations, Maintenance & Improvement

We provide ongoing operational support, maintenance and improvement after production launch.

Scope of Work

• Respond to inquiries
• Investigate and recover from incidents
• Fix bugs
• Add minor features
• Update libraries and middleware
• Remediate vulnerabilities
• Check backups
• Review logs
• Monitor systems
• Review AI-generated code
• Assess code regularly
• Support releases
• Provide monthly operations reports

Support is available for individual tasks or through an ongoing monthly agreement.

8. AI Development Rules & Governance

We establish rules and processes that let your team keep developing with AI while maintaining quality.

Scope of Work

• Define AI development guidelines
• Review the AI tools in use
• Define what information may and may not be shared with AI
• Create prompt templates
• Write coding standards
• Prepare CLAUDE.md, AGENTS.md and similar guidance
• Define Git and branch workflows
• Introduce code review
• Set human approval stages
• Create AI-generated code review checklists
• Automate quality checks in CI
• Provide AI development training

We help build a development process that combines AI’s speed with consistent quality and security.

How We Work

1. Initial Discussion

We discuss your system, development approach, current challenges and requirements.

2. Preliminary System Review

We review source code, interfaces, infrastructure and current operations.

3. Assessment & Issue Analysis

We identify issues in quality, security, specifications and operations.

4. Improvement Plan & Estimate

We propose the scope, priorities, schedule and cost.

5. Remediation & Production Deployment

We carry out documentation, security improvements, testing, refactoring and environment setup as required.

6. Ongoing Operations & Improvement

After launch, we continue to help with incidents, feature improvements and AI-generated code reviews.

Examples of Systems We Support

• Customer relationship management
• Sales support systems
• Reservation management
• Inquiry management
• Membership management
• Inventory and order management
• Internal business systems
• Small e-commerce sites
• SaaS and web services
• Mobile web applications
• Data reporting and dashboards
• Internal AI chat tools
• RAG and generative AI systems
• External API integrations
• Systems developed as MVPs or proofs of concept

For other types of systems, we will review the details and confirm whether we can help.

Example Technologies

• Python
• Flask
• Django
• FastAPI
• Java
• Spring Boot
• PHP
• Laravel
• JavaScript
• TypeScript
• Vue.js
• React
• Next.js
• Node.js
• MySQL
• PostgreSQL
• Redis
• Docker
• AWS
• Azure
• GCP
• OpenAI API
• Claude API
• Generative AI tools and external APIs

Please contact us about technologies not listed here.

Why APASYS

Support from Assessment to Maintenance

Our scope extends beyond code changes to documentation, security, testing, infrastructure, deployment and ongoing maintenance.

Make Practical Use of AI

We retain the speed of AI-assisted development while adding human design decisions, quality checks and security measures.

Improve in Manageable Stages

We review the current system and address the highest-priority issues first, avoiding unnecessary rebuilding.

Japanese Documentation & Operational Support

We explain technical matters clearly and prepare specifications, reports and operating procedures in Japanese.

Continued Development & Maintenance

Our support can continue after the initial changes, covering new features, incidents, security updates and reviews of AI-generated code.

Frequently Asked Questions

Can you work on a system built with AI?

Yes. We support systems developed using ChatGPT, Claude Code, Cursor, Codex and similar tools.

Can we consult you if we do not know the quality of our code?

Yes. We first review the architecture and code, then explain the current condition and where improvement is needed.

Can you help without specifications or design documents?

Yes. We can start by reviewing screens, behavior, source code and the database to document how the system currently works.

Can you change only part of the system?

Yes. We can focus on specific needs such as security improvements, additional tests, code organization or cloud migration.

Will the entire system need to be rebuilt?

Not necessarily. After reviewing it, we may recommend continued use, targeted changes or a phased rebuild.

Can we request only a pre-launch review?

Yes. We can review quality, security, load behavior and infrastructure before production launch.

Can you maintain the system after the changes?

Yes. Monthly or project-based agreements can cover incident response, bug fixes, new features and security updates.

How do you handle confidential information and source code?

We work under a non-disclosure agreement, restrict access and use appropriate information management practices.

Tell Us About Your Current System

AI-built systems can turn an idea into a working product quickly.

For continued business use, specifications, quality, security, infrastructure and operations need to be in place.

APASYS reviews your current system and recommends the necessary improvements and their priorities.

You can ask us about an assessment, security work, additional tests or maintenance alone, as well as a broader rebuild.

Please get in touch.

Useful Information for Your Inquiry

• An overview of the system
• AI development tools used
• Technologies used
• How the system is currently used
• Whether it is already in production
• Current issues or concerns
• Whether source code is available
• Your preferred timeframe

If you do not have all the details, simply share what you know.