Which Tests Should You Automate First in a Software Project?

 

Most teams launching a test automation effort fall into the same trap: they try automating everything right away. What you end up with is a slow, fragile test suite that constantly breaks and gets shelved within a few months.

The smarter path? Automate strategically. Choose the right tests first, get actual feedback quickly, and grow from there. Here are five clear categories of tests worth automating first in a software project.

Regression Tests That Run After Every Build

The benefits of automated software testing become obvious when you look at regression coverage. Teams need the same checks re-run reliably after every code change without burning engineer time on repetitive manual work.

Regression tests verify that existing features still work once new code ships. Your team probably already runs these manually on a regular schedule. Automating them first pays off fast because you're eliminating a task that happens constantly.

Start with features your users depend on most: login flows, checkout paths, data-saving actions. When those break, customers feel it right away, so catching them before deployment matters.

And yes, regression tests feel tedious to set up. That's precisely the point. Stable, repeatable, and fast is exactly what you want from this layer.

Smoke Tests That Confirm the Build Is Deployable

Smoke tests are a small set of checks that verify your application starts correctly and its most critical paths work. They don't cover every scenario; they just confirm the build isn't fundamentally broken at a surface level before deeper testing runs.

These tests are small by design. A well-built smoke suite runs in under five minutes and tells you whether a deployment is safe to move forward with. For a team running multiple deployments per day, that speed is critical.

Automate smoke tests early because they deliver fast. You'll catch broken deployments before they ever hit QA or staging, which saves everyone time; the test count stays small, so maintenance doesn't become a headache.

Unit Tests for Business Logic With Complex Rules

Unit tests check isolated code pieces, usually individual functions or methods. They're the fastest type to run and the easiest to maintain, since they don't depend on databases, APIs, or browsers.

The unit tests worth automating first are the ones covering business logic with intricate behavior: tax calculations, discount rules, eligibility checks, date-handling edge cases. These areas fail in subtle ways that manual testing struggles to catch; bugs slip into production undetected.

A 2023 report from the DORA research program found that teams with strong unit test coverage deploy much more often with fewer rollbacks than teams relying on manual testing alone. That difference doesn't come from automating everything; it comes from automating strategically. Business logic is where you get the most signal per test written.

End-to-End Tests for Your Most-Used User Paths

End-to-end (E2E) tests simulate real user behavior across the full stack. They're slower than unit tests and more prone to flakiness, so you don't automate all of them first. Focus on the ones covering the paths users actually take every day.

Think about the three to five actions your users complete most often: signing up, placing an order, generating a report, sending a message. Those journeys need automated coverage before anything else. When they break, your product breaks from a user's perspective.

Functionize, built specifically for this layer, achieves 99.97% element recognition accuracy across E2E tests, which means the "my tests keep breaking on minor UI changes" problem mostly goes away. GE Healthcare used this approach and cut 40 hours of manual E2E testing down to 4. That's a real number, not a projection.

So don't shy away from E2E tests because they seem complicated. Automate the five most-used flows, keep the suite tight, and expand from there.

Tests That Currently Consume the Most Manual QA Hours

Look at what your QA team actually does. Which tests do they run most often? Which ones eat the most time per cycle? Automate those next, regardless of test type.

This isn't glamorous. It's practical. If your team spends six hours every cycle manually testing a reporting module, automating those tests saves six hours per cycle. Multiply that across a year and the math becomes hard to ignore.

Being honest about where manual time actually goes keeps you from automating what's technically interesting instead of what's operationally costly. Pull a log from your project management tool, list the test tasks your QA team repeated most over the last two months, and start there.

Conclusion

Figuring out which tests you should automate first in a software project boils down to this: automate what runs often, breaks silently, or costs your team real time. Regression tests, smoke tests, unit tests for complex logic, key E2E flows, and your highest-effort manual tests are the right starting points. Start narrow, prove the value, and scale from there.