Technical Audit
In 2 weeks, we find the risks hiding in your codebase: hand-built or AI-generated, same scrutiny.
You can't fix what you can't see. AI tools can now generate entire applications in hours — but they can't tell you whether what they built is secure, maintainable, or even doing what you think it does. We use AI-assisted analysis to scan faster and deeper than manual review alone — then apply the engineering judgment that AI tools lack. Our Technical Audit gives you an unfiltered view of the risks, bottlenecks, and hidden costs in your current system — whether it was hand-built over years or vibe-coded in a weekend — with a prioritized action plan to address them.
What we audit
Six dimensions of technical health, each with specific evaluation criteria.
Architecture & infrastructure
System design, deployment topology, scalability ceiling, single points of failure, and disaster recovery posture
Code quality & maintainability
Code complexity, test coverage, dependency health, documentation gaps, and real cost of technical debt
Security posture
OWASP Top 10 vulnerabilities, authentication patterns, data handling, and third-party risk
Performance
Database query efficiency, caching strategy, frontend Core Web Vitals, and API response times under load
Development processes
CI/CD pipelines, branching strategy, release cadence, incident response, and team practices
AI-generated code assessment
Hallucinated logic, duplicated patterns, phantom dependencies, missing error handling, and security holes that AI tools introduce — the stuff that passes a demo but breaks in production
Deliverables
The audit process
Two intensive weeks of analysis followed by clear, actionable recommendations.
Week 01
Analysis & scanning
Code review, architecture analysis, automated scanning. We read the codebase, interview key engineers, and run security and performance tooling
Week 02
Synthesis & prioritization
Every issue gets a severity rating, an effort estimate, and a recommended remediation path
Delivery
Report & action plan
Executive summary, full technical findings, prioritized remediation backlog, architecture diagrams, and a 90-day quick-win plan
We came in thinking we needed a new platform. Kalinko told us we didn't, and they were right. The fix cost a third of what we'd budgeted and ran on day one.
Who commissions this
Typically: CTOs inheriting a codebase, investors doing technical due diligence, product teams preparing for a major scaling phase, and founders who shipped fast with AI tools and need someone who actually reads code to tell them what they've got.
Ready to see what's possible?
Book a free 30-minute discovery call. We'll map your opportunities and give you a realistic ROI estimate.
Book a discovery callFrequently asked questions
We assess six dimensions: architecture and infrastructure, code quality, security posture, performance, development processes, and AI-generated code. You receive an executive summary, full technical findings, architecture diagrams, and a prioritized 90-day action plan.
Two weeks. Week one is analysis and scanning; week two is synthesis, prioritization, and report writing. We deliver the full report with a walkthrough presentation at the end.
Yes — this is one of our specialties. AI-generated codebases often contain hallucinated logic, phantom dependencies, inconsistent patterns, and security holes that pass demos but break in production. We identify and prioritize these issues.
Our standard two-week audit is a fixed-price engagement. Contact us for a quote — pricing depends on codebase size, number of repositories, and infrastructure complexity.
Common triggers: inheriting a codebase as a new CTO, investor due diligence, preparing to scale, post-acquisition assessment, or when you've shipped fast with AI tools and need an honest assessment of what you've got.