BotGauge
Freemium
Startups and fast-moving engineering teams
Manual QA checklists for pull requests are written from memory, which means the edge cases no one thought to document are the ones that ship as regressions. QALens takes a code diff, screenshot, or plain-language description and returns a prioritized checklist with specific risk flags — no prompt engineering required.
Free tier: 3 analyses per month; 3,000 character limit per analysis; 200 lines per diff maximum; no saved checklists; no tool integrations
The core workflow is one input, one output: paste a GitHub URL, upload a screenshot, or describe a change in plain text, and QALens returns categorized test cases with risk confidence levels and an explanation of why each risk matters. The example output on the vendor's page shows it surfacing a race condition between a concurrent address PUT and a session refresh — the kind of backend regression that passes unit tests and surfaces in production. The free tier caps at three analyses per month and 200 lines per diff or 3,000 characters, which covers small PRs but excludes most real-world feature branches. Saving checklists, connecting Bitbucket, and analyzing pull requests automatically are all paid-only features. Teams doing high-volume PR review will hit the free ceiling inside a single sprint.
Bottom line: Pick this for rapid risk triage on isolated, small-scope PRs — plan around it when your team ships large diffs regularly or needs saved, reusable checklists without a paid account.
3 free analyses per month; limited to 3,000 characters and 200 lines per diff; no saved checklists or integrations
Registered users unlock more analyses, ability to save checklists, and integrations with Bitbucket and Jira
View full pricing on qalens.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in Test Generation. Compare pricing, platforms, and features side by side.
Freemium
Startups and fast-moving engineering teams
Freemium
QA engineers and teams shipping software
QALens accepts a code diff, a screenshot of a UI change, or a free-text description of what changed, then returns a prioritized QA checklist with risk tiers, confidence levels, and flagged edge cases the vendor describes as based on real-world bug patterns. The tool fetches diffs directly from GitHub URLs, so reviewers do not need to copy and paste raw patch output. Analysis runs in the browser — the vendor states processing takes roughly 30 to 60 seconds — and there is no self-hosted option or API available.
The differentiating claim, stated explicitly on the landing page, is that QALens is not a generic ChatGPT prompt wrapper — it describes its analysis as understanding repo context and weighting results by real-world bug patterns. The example output supports this: for a checkout diff touching auth flow and payment idempotency simultaneously, it flags the specific race condition between a concurrent address mutation and session refresh that produces a stale payment token, and explains that this is a backend regression unit tests will not catch. Whether this holds across arbitrary codebases is not independently verifiable from the landing page.
QALens fits QA engineers and development teams who want faster test scenario discovery on focused code changes, particularly those already using GitHub, Bitbucket, or Jira. The free tier is meaningful for occasional use or evaluation — three analyses per month with a 200-line diff ceiling — but breaks down for teams reviewing multiple PRs per day. The 200-line cap will reject a normal feature branch before analysis even starts. Teams doing continuous integration with automated PR analysis need a paid account, and the integration with Bitbucket and Jira is a paid-only feature, meaning the CI/CD use case is not available on the free tier at all.
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