AI-Powered Solutions
Structured methodology with human oversight on every AI output.
What I do
Comprehensive consulting services to modernize your codebase and processes.
Codebase Assessment
12-dimension ISO 25010 analysis — scoring, executive summary, risk matrix, and implementation roadmap.
- Quantitative scoring
- Executive summary
- Risk matrix
- Implementation roadmap
Documentation
API docs, onboarding guides, and architecture diagrams that your team will actually use.
- API documentation
- Onboarding guides
- Architecture diagrams
- Knowledge base
Quick Wins Sprint
High-value, low-effort improvements delivered in 1–2 weeks. Visible results fast.
- Performance fixes
- Security patches
- Code cleanup
- 1-2 week delivery
Architecture Design
System design, tech stack selection, and Architecture Decision Records for your project.
- System design
- Tech stack selection
- ADR documentation
- Scalability planning
Product Planning
Requirements, user stories, backlog, and sprint planning — from idea to actionable tasks.
- Requirements analysis
- User stories
- Sprint planning
- Backlog management
AI-Powered Analysis
AI-assisted code review and pattern detection — every finding verified by a human expert.
- Automated pattern detection
- AI-assisted code review
- Trend analysis
- Human expert verification
Human Review Guarantee
Every AI output is reviewed by a human expert before delivery. No raw AI results — ever.
12-Dimension Assessment Model
Based on ISO/IEC 25010 Software Quality Model
Extended from ISO/IEC 25010 Software Quality Model — adapted for practical codebase assessment
Architecture
Overall structure and organization of your system — patterns, component relationships, and scalability. Poor architecture limits growth, increases change cost, and creates maintenance burden.
Tech Stack
Versions and support status of core frameworks, languages, and platforms. Outdated stacks lose security support, talent availability, and community resources.
Dependencies
Third-party libraries and their health — vulnerabilities, maintenance status, and version currency. Dependencies are attack vectors and maintenance liabilities.
API Design
Quality of external and internal interfaces — REST/GraphQL design, documentation, and consistency. Poor APIs create integration friction and increase bug surface.
Security
Authentication, authorization, secrets management, and OWASP compliance posture. Security gaps create breach risk, compliance issues, and reputation damage.
Maintainability
Ease of making changes without breaking existing functionality. Low maintainability means high change cost and risk.
Knowledge Transfer
Quality and completeness of documentation enabling new team members to become productive. Knowledge silos create bus-factor risk and slow onboarding.
Data Model
Database schema design, entity relationships, and data integrity controls. Poor data models cause performance issues, data quality problems, and migration complexity.
Technical Debt
Accumulated shortcuts and deferred work requiring future remediation. Debt compounds over time, slowing delivery and increasing defects.
Code Comments
Inline documentation explaining complex logic and design decisions. Missing comments increase comprehension time and error risk.
Test Coverage
Automated test presence and quality across unit, integration, and E2E levels. Low coverage means high change risk and regression probability.
Readability
Code formatting, naming conventions, and cognitive load for readers. Unreadable code slows development and increases errors.