Verdict first
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Choose Selenium if you need precise control, unusual browser or platform coverage, or you are working inside an ecosystem already built around WebDriver.
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Choose TestSprite if the bottleneck is deciding what to test and keeping the suite alive, especially when much of the code arrives from a coding agent.
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Run both if you have a Selenium suite people trust. Keep it, and add agent verification for the breadth nobody has time to author.
Side by side
| Dimension | Selenium | TestSprite |
|---|---|---|
| What it is | A browser automation standard with bindings in many languages | An agent that plans, runs and triages tests against the live app |
| Who writes the tests | Your engineers, in Java, Python, C#, JavaScript and others | Generated from your sources, refined in natural language |
| Control over a step | Total. You specify every interaction | Steps are intentions, so you trade precision for durability |
| When the UI changes | Locators break and someone repairs them | Cosmetic changes usually survive |
| Browser and platform reach | The widest in the industry, including legacy targets | Modern browser flows against your deployed app |
| Ongoing cost | Authoring plus maintenance, growing with the suite | Review and refinement, growing more slowly |
| Weakest at | Breadth. You cover only what someone wrote | Fine-grained control of an individual interaction |
Where Selenium is still the right answer
Unusual coverage requirements. Old browsers, specific driver behavior, embedded targets. Nothing else comes close to the reach.
Deterministic sequences. When the exact order of interactions is part of the contract and must never drift.
An existing grid. Infrastructure, skills and conventions built up over years are an asset, not a legacy problem.
Where the model runs out
The limit is arithmetic. Every test is authored by a person, and the number of people is fixed while the number of features is not. Two symptoms appear first: coverage concentrates on flows that were interesting to write rather than the ones that break, and the maintenance share of each sprint rises until somebody proposes deleting the flaky tests.
What a migration actually costs
Teams that decide to move off Selenium usually underestimate one thing and overestimate another.
Underestimated: the grid is not just infrastructure, it is a set of assumptions baked into every test. Timeouts tuned to its latency, parallelism tuned to its capacity, screenshot handling tuned to its storage. Those assumptions do not port, and they are invisible until the first run somewhere else.
Overestimated: the tests themselves. Most suites have a core of twenty or thirty flows that people genuinely rely on and a long tail nobody has looked at in a year. Migrating the core is a week. Deciding to abandon the tail is the part that takes three meetings, and it is usually the right decision.
Which is why running something alongside beats migrating. You find out which flows were actually load-bearing by seeing which ones anybody notices going quiet.
Running both
Split by who decided the test should exist. Deliberately specified flows stay in Selenium. Broad regression, and verification of changes that arrived from a coding agent, go to the agent. Both run from the same pipeline without knowing about each other.
If you are evaluating, break something on purpose
Introduce a real regression, like a save button that no longer persists, and watch what each tool reports. Three questions: does it fail, does the failure name the actual divergence, and could the person or agent fixing it start from that output without re-deriving the story. A tool that reports a pass on a run which never reached its assertions has failed the only test that matters.
Two routes, and the choice is really about who owns the pipeline. Connecting the GitHub App from the dashboard needs no change to your repository at all, because it reacts to the deployment your build already emits. Adding a GitHub Actions step puts the check in the repo where it gets reviewed like the rest of the build; the current commands are in the CLI repository.
What TestSprite adds to a Selenium shop
Coverage that does not consume author time. Cases are generated from your product and refined in plain language, so breadth stops being limited by how many engineers you can spare for test writing.
Two further differences show up in daily use. Steps are intentions rather than locators, so a redesign that changes nothing functional does not turn the suite red, which removes the largest single source of maintenance. And a failure returns as a description of what was attempted, what the app did and where those diverged, usable by a coding agent as well as a person.
Your grid and your existing suite stay exactly as they are. The practical outcome is that the flows nobody had time to automate get covered, and the ones your team deliberately wrote stay under your control.
Is Selenium obsolete?
No. It is the base layer for a large part of the industry and still has the widest platform reach available. The pressure on it is capacity, not capability.
Do we have to migrate?
No, and wholesale migration is rarely a good trade. Add coverage at a different layer instead of moving what already works.
What about flaky Selenium tests?
Most flakiness is locator fragility or timing assumptions. Intention-based steps remove a large share of the first. Neither approach fixes a genuinely unstable environment.
Can TestSprite export code we can run in our grid?
The generated test source can be printed or written to a file. Treat it as a snapshot of one path rather than the artifact you maintain by hand.
Which is cheaper?
Compare total cost. Selenium is free and the engineering time to author and maintain the suite is not. The answer depends almost entirely on whether you have that capacity.
Control versus capacity, not old versus new.
Selenium gives you complete control and asks for authorship and maintenance. Keep it for the flows your team deliberately specified and for unusual platform reach, and add agent verification for the breadth nobody has time to write.