OpenTest.AI
OpenTest.AI provides local-first AI quality checks and portable JSON formats for software testing.
What OpenTest.AI is
OpenTest.AI provides local-first AI quality checks and portable JSON formats for software testing. It is self-hosted, and its six listed skills cover bug fixes, quality scans, risk and confidence analysis, comparisons, and metrics. The jank auto-fix skill looks for bugs in recent changes and can work with code, documents, images, and Office files. jank_deep checks 12 quality dimensions, including correctness, security, reliability, performance, maintainability, and testing. Other skills examine change risk, test coverage, differences between APIs or files, and metrics such as cumulative tokens and estimated developer time saved. The skills are described as running locally without an API key, cloud call, or account, and work with clients including Claude Code, Cursor, Codex CLI, GitHub Copilot Chat, Aider, and Continue.dev. The project also analyzes screenshots, network and console logs, and DOM or accessibility trees with 33+ specialized AI testing profiles. It supports bug detection, persona feedback, and prioritized test-case generation. Its v1 JSON formats are designed to move bugs and test cases between tools and people; test cases can be replayed by Playwright, Selenium, Cypress, or a human. The MIT-licensed open-source plan is free forever.
Good
- Runs locally without an API key, cloud call, or account
- Checks 12 quality dimensions with jank_deep
- Analyzes screenshots, logs, and DOM or accessibility trees
- Test cases can be replayed by several runners or a human
- MIT-licensed open-source plan is free forever
Watch out
- Self-hosted platform
- No API test generation
- No mobile test generation
Who it suits
OpenTest.AI suits developers and teams seeking local AI quality checks alongside the listed AI clients. Its testing and portable test-case formats may also suit people who want to inspect bugs or generate prioritized test cases for pages and flows.
Verdict
OpenTest.AI brings several AI-assisted quality checks together with portable bug and test-case formats.
Plans and prices
From OpenTest.AI's own pricing page, checked 1 Oct 2001.
| Plan | Price | What it gives you |
|---|---|---|
| Open source · MIT | Free | MIT licensed · no API key · no cloud call · no account · free forever |
The facts
Each one read from OpenTest.AI's own pages, with the date it was checked.
What it does
- Additional services
- The site says jank.ai also offers cloud browser testing, URL monitoring dashboards, autonomous hunt-and-fix loops, and human-eye reviews.checked 1 Oct 2001
- AI client integrations
- The skills work with Claude Code, Cursor, Antigravity, Codex CLI, GitHub Copilot Chat, Aider, Continue.dev, and AGENTS.md-aware tools.checked 1 Oct 2001
- Auto-fix
- jank auto-fix finds bugs in recent changes and can work on code, documents, images, and Office files.checked 1 Oct 2001
- Bug detection
- The open-source project analyzes screenshots, network logs, console logs, and DOM or accessibility trees using 33+ specialized AI testing profiles.checked 1 Oct 2001
- Confidence analysis
- jank_confidence uses statistical test-coverage analysis with t-tests, p-values, and sampling, and estimates the cost and time to close gaps.checked 1 Oct 2001
- Local operation
- The skills are described as pure-local and require no API key, cloud call, or account.checked 1 Oct 2001
- Metrics
- jank_stats reports cumulative tokens, cost, fixes by category, and estimated developer time and money saved.checked 1 Oct 2001
- Open skills
- The site lists six quality-check skills: jank auto-fix, jank_deep, jank_risk, jank_confidence, jank_diff, and jank_stats.checked 1 Oct 2001
- Portable formats
- OpenTest.AI publishes v1 JSON formats for bugs and test cases designed to move between finders, runners, fixers, and humans.checked 1 Oct 2001
- Product purpose
- OpenTest.AI provides local-first AI quality checks and portable JSON formats for AI-era software testing.checked 1 Oct 2001
- Quality scan
- jank_deep performs a full scan across 12 quality dimensions including correctness, security, reliability, performance, maintainability, and testing.checked 1 Oct 2001
- Risk analysis
- jank_risk traces changes across code blast radius, GenAI smells, user frustration, and business risk.checked 1 Oct 2001
- Runner interoperability
- The test-case format can be replayed by Playwright, Selenium, Cypress, or a human.checked 1 Oct 2001
- Smart diff
- jank_diff compares APIs, documents, or local files while ignoring timestamps, dynamic IDs, and generated metadata noise.checked 1 Oct 2001
- Testing modes
- The project supports bug detection, persona feedback, and prioritized test-case generation for pages or flows.checked 1 Oct 2001
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