The Hidden Costs of Source Code Technical Debt

​Mitigate Risk, Control Costs, and Accelerate Innovation

​Technical debt is no longer a “dev problem”—it’s a compounding business risk that shows up as slower delivery, rising maintenance costs, security exposure, and deal friction. In this webinar, CodeWeTrust breaks down why technical debt keeps growing even as companies invest more, and how an AI-first approach can turn technical findings into measurable business impact.

​What we’ll cover

• ​The “AI Time Bomb”: how technical debt quietly escalates cost, risk, and agility loss

• ​The 3 dimensions of debt: Quality, Security, Legal (and why ignoring any one of them is expensive)

• ​The paradox: why spend is up, yet results are worse; plus the market + communication gaps behind it

• ​The solution: AI-first, context-aware code inspection that goes beyond static analysis

• ​Blind Audit: assess a codebase without sharing the source code; ideal for confidentiality-sensitive environments (incl. M&A)

• ​Live walkthrough: a practical 7-step C2M workflow overview

• ​Business outcomes: what “good” looks like; aster diligence, lower maintenance cost, proactive risk mitigation, more capacity to innovate

​Who should attend

• ​M&A, Corp Dev, PE/VC portfolio ops

• ​CTO VP Engineering Engineering leaders

• ​Security & compliance leaders

• ​Product and finance stakeholders who need clear, quantifiable risk signals

​Takeaways
You’ll leave with a simple framework to communicate technical debt in executive terms, plus a clear view of how AI can quantify and prioritize risk; without slowing teams down or requiring code sharing.

​Next steps
At the end, we’ll share how to book a demo or request a Blind Audit.