Announcement: Yet Analytics celebrates the launch of Technical Debt Advisors
TDA provides independent technical risk assessment for the AI coding era.
As a new advisory offering from the team at Yet Analytics, TDA is focused on helping small and mid-sized businesses, startups, and investors understand the software risk hiding inside rapidly built systems. As AI-assisted development makes it easier than ever to launch internal tools, prototypes, and production applications, it also makes it easier for technical debt to accumulate faster than organizations can see it. We want to help identify where that debt creates real business exposure across maintainability, continuity, security, architecture, and cost.
A note from Shelly:
Hello,
This week I've got AI on my mind.
Specifically, I’m thinking about the number of small and medium sized businesses with a Dave problem.
Dave built something useful. Maybe it automates quotes, moves customer data between systems, generates reports, or replaces the spreadsheet everyone hated.
Great.
The problem starts when Dave becomes the documentation, support desk, security model, and disaster recovery plan.
AI-assisted coding makes it easier than ever for one capable person to build surprisingly important software without much oversight.
Once other people depend on it, that little side project has become infrastructure.
You don't necessarily need to rebuild it. You do need to know what it does, where the data goes, what it depends on, who can maintain it, and what happens if Dave wins the lottery tomorrow.
I think there are many Daves running around out there. And with the proliferation of AI-assisted coding tools, there are going to be many more.
Especially in small and medium sized companies. Especially in companies not known for their software engineering prowess. In other words, in most companies.
There are attempts to get a grip on this at the Fortune 1000 level through expensive software and partnerships with the big consulting firms. But in the SMB and middle market space, where the problem may be worse on account of limited internal programming knowledge, it's the Wild West.
Replit recently posted a case study of the company Leatherman. You know them as the pocket knife company. Did you know that Leatherman built nearly 120 apps internally in six months? Or that over 140 employees are now coding their own apps? Or that Leatherman has been producing a new app every one-and-a-half days?
This is impressive. It's also an exemplar for the amount of technical debt that businesses are about to rack up as the development of AI-coded apps become to this day and age as ubiquitous as the development of websites became with the dawn of Wordpress.
"But can't you just re-run it in Claude and it'll automatically fix everything because AI..."
No.
That's why we've launched a new service to ensure that when companies go all in on AI-enabled code, they don't end up with an exponential Dave problem.
Shelly Blake-Plock
CEO Yet Analytics
Our goal is to give companies a clear picture of what they have, what matters, and what to do next. Technical Debt Advisors offers fixed-price assessments and practical roadmaps designed to help organizations reduce risk without defaulting to expensive rewrites or bloated consulting engagements.
Learn more at technicaldebtadvisors.com.