Reinier Verschure
7 September 2026
Decisions about software architecture are often some of the most expensive calls a company will make. Yet major architectural changes, vendor switches, or team expansions are frequently driven by general sentiment:
- "This platform feels like it won't scale much further."
- "The third-party agency left us with a total mess."
- “We don’t think this system is easy to add features to”
- “We believe changes are easy to implement, but the team is incapable of doing so”
Opinions are subjective. If you want to make decisions that hold up over time and get both developers and executive leadership aligned you need concrete data.
Your source control history is one of the best sources of operational data available. Running static analysis and historical checks against a repository reveals trends that aren't obvious on the surface:
- Files with high edit frequency combined with high complexity are statistically where most bugs originate.
- Commit history shows if critical sub-systems are maintained by only one engineer, creating a major operational vulnerability if they leave.
- It confirms whether the automated safety nets promised in project status reports actually exist in the repository.
The goal of evaluating a codebase isn't to audit developers or assign blame. It's to stop people from making uninformed assumptions behind closed doors.
Reviewing repository metrics alongside the engineering team creates productive alignment and can be a healthy step to perform during sprint retrospectives. Raw data gives everyone a shared baseline, which takes the tension out of the room and shifts the focus toward practical solutions.
If you're considering a massive refactor or a full platform migration, don't guess. Doing a proper baseline assessment during discovery gives you an honest look at the tech debt you're carrying and what it will realistically take to address it.
If you want to see what a data-driven code review looks like or discuss your current architecture, feel free to send me a message.
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