How much maintenance debt is hiding in your repos?

We scan every public repo in the org for open security advisories, dependencies a major version or more behind, runtimes past end-of-support, and CI configuration drift. Each finding gets a conservative estimate of the engineer-hours to triage, fix, test, and ship it, and we total those into engineer-weeks. The report shows the per-line-item math, so the figure is something you can defend internally.

Conservative on purpose. Every dependency is counted once, and a CVE only adds the time to triage and verify it on top of the upgrade that already fixes it, so nothing is double-counted. If the estimate is off, it is more likely low than high. You can argue with the per-fix rates; the findings themselves are real.

Public repos are everything we can analyze without you handing us access to anything. For most companies they are a small slice of the real footprint, so read the number as a floor, not a ceiling. Want the same breakdown across your private repos? Start a trial or book a demo and we will run it against your actual org.

We review each one before it goes out, so it lands in your inbox within a few hours rather than instantly.

We use it to send you the report, and someone from Tidra may follow up once to see whether it was useful. No drip campaign, and you can unsubscribe in one click.

The backlog the report surfaces is the exact work Tidra automates, so it doubles as our pitch. Either way you walk away with a real number for the maintenance load your team is carrying, which is useful whether or not you ever talk to us.

Maintenance debt is the operational slice of technical debt: the accumulated dependency upgrades, security patches, runtime migrations, and CI fixes a team has deferred. Unlike feature debt, it compounds quietly — each skipped upgrade widens the gap to the next one, and open CVEs accumulate until something forces a triage sprint. The report gives you the total in engineer-weeks so you can see the real size of the backlog before deciding how to tackle it.

We assign a conservative estimate of engineer-hours to each finding: time to triage, implement the fix, write or update tests, and ship the change. A dependency upgrade on a well-tested package is different from patching a CVE in a critical runtime, so the rates vary by finding type. We total all findings across every public repo in the org and convert to engineer-weeks. The report shows the per-line-item math, so the figure is auditable rather than a black box.