Code Is Being Produced Faster
AI tools allow founders and teams to create substantial applications before traditional review and engineering controls have caught up.
Led by Mohan Iyer, Vibe Code Forensic Audit combines engineering discipline, software-delivery experience and evidence-led review to help serious teams understand what can be trusted before software is shipped, funded, acquired or handed over.
AI-assisted development can turn an idea into a working application with extraordinary speed. But a polished interface, successful demonstration or passing smoke test does not prove that the underlying software is dependable.
Mohan created the Vibe Code Forensic Audit after seeing the same gap appear repeatedly: teams could generate more code than ever before, but they lacked independent evidence about what the code could safely be trusted to do.
Beneath an apparently complete application may be duplicated logic, unsafe assumptions, missing failure paths, exposed configuration, fragile access controls or fixes that solve one problem while introducing another.
The difficult work is not generating another version of the software. It is establishing what actually exists, separating meaningful findings from scanner noise and connecting the evidence to a real business decision.
THE TRUST GAP“The cost of producing code has fallen. The cost of knowing whether that code deserves trust has not.”
AI tools allow founders and teams to create substantial applications before traditional review and engineering controls have caught up.
A feature may perform correctly in the ideal demonstration while authentication, data handling and unhappy paths remain fragile or unexamined.
Automated tools can produce useful signals, but issue counts without context, coverage boundaries and human judgement can create false confidence.
The report must help someone decide whether to launch, fund, acquire, hand over or place the application into production.
Independent software assurance for commercially important AI-built applications.
Vibe Code Forensic Audit is led by Mohan Iyer, an engineer, technical project manager and long-standing digital practitioner focused on the trust gap created by AI-assisted software development.
Mohan’s foundation is in Industrial Engineering, with postgraduate specialisation in artificial intelligence. His work has consistently centred on systems, processes, risk, technical delivery and the decisions that depend on them.
He later added an MBA and practical experience across software projects, technical project management, websites, digital platforms and commercial technology delivery.
That combination shapes the audit approach: technical findings must be located and reproducible, but they must also help a founder, engineering team, investor or buyer decide what to do next.
Systems thinking, process analysis and disciplined examination of how technical components interact.
A technical foundation in artificial intelligence established before today’s generative-AI boom.
Technical evidence interpreted in relation to risk, investment, delivery and business consequences.
Practical experience across software projects, websites, digital systems and client delivery.