Software products often look stable from the outside for months, sometimes years. Customers keep logging in, releases keep moving, and the roadmap gives everyone enough confidence to keep going.
Then a new team gets access to the repo, the deployment notes, the cloud account, and the monitoring setup. The picture becomes more complicated.
The deployment process depends on one person. The architecture diagram came from a planning session two years ago. Several services touch the same data. The cloud bill keeps growing, and ownership of that line item sits somewhere between finance, DevOps, and “we’ll deal with it later.”
That is where technical due diligence earns its place.
Before an acquisition, investment, merger, or major partnership, it helps answer the engineering questions people tend to delay:
Can another team maintain this system?
Can it scale under new demand?
Where are the security risks?
How expensive will the cleanup be?
The codebase matters, but it gives only part of the picture. A proper review also looks at infrastructure, CI/CD, access control, documentation, technical debt, compliance, and the way the team ships software.
Sometimes the highest risk sits with one engineer who has carried production knowledge for years. They know which job fails on Fridays. They know which script needs manual attention. They know which dashboard to ignore because it has been noisy since 2021.
That knowledge has value. It also creates risk.
A few warning signs usually show up early:
old dependencies nobody wants to touch
cloud costs without ownership
architecture that takes three meetings to explain
Each of these changes the cost of the deal.
Technical due diligence gives buyers and engineering teams a practical view of what they are getting: what needs work soon, what can wait, and what may become expensive after the papers are signed.
MEV has a deeper guide on the process here:
https://mev.com/blog/technology-due-diligence-how-to-do-it
