Opsis
Opsis is an AI QA platform designed for fast-moving builders, particularly those who rely on "vibe coding" with tools like Cursor and Lovable. It connects to real user session data from sources such as PostHog, Sentry, and custom logs, then automatically detects bugs that traditional testing might miss. Each bug is proven with a video recording, a trace, and relevant logs, making it easy to understand and reproduce the issue. Opsis then generates a safe-fix prompt that can be pasted directly into an editor, enabling developers to resolve issues quickly without manual debugging. The platform is built to integrate into existing workflows, supporting tools like Slack, Linear, GitHub, and major cloud and analytics services. It emphasizes privacy by default, including PII redaction and read-only OAuth connections, so user sessions are safe to review. For agencies and freelancers, Opsis offers scheduled scans and OWASP checks to catch regressions before clients report them. For startups and teams, it provides re-verification of fixes, ensuring a bug is truly closed when it can no longer be reproduced. Opsis positions itself as the "QA you don't have to do," targeting solo founders, freelancers, and small teams who want to ship updates confidently without a dedicated QA team. The service offers a free 3-day trial and is available as a cloud platform, with pricing details available on its website. While specific technical details such as open-source status or deployment options are not publicly disclosed, the platform focuses on reducing the friction between bug detection and deployment.
- Category
- AI Testing
- Pricing
- Unknown
Problem solved
Opsis solves the problem of post-deployment bugs reaching users by automatically detecting, proving, and providing fixes for issues in real user sessions. It eliminates the need for manual QA testing by turning broken sessions into actionable bug reports with video evidence and copy-paste fix prompts, allowing developers to ship faster without breaking user trust.
Use cases
- Automated QA for vibe-coded applications built with Cursor, Lovable, or similar tools
- Catching bugs in real user sessions that are missed by pre-deploy tests
- Providing video-proof bug reports for remote teams and clients
- Generating fix prompts to paste directly into AI-assisted code editors
- Monitoring for regressions after each new release
- Running scheduled scans and OWASP security checks for client projects
- Integrating with Slack or Linear for automated bug alerts in team workflows
Audience
- Developers
- Hobbyists
- Startups
- Enterprise
- Researchers
Pros
- Automatically detects bugs without manual test writing
- Provides video proof, trace, and logs for each bug
- Generates fix prompts compatible with AI code editors
- Integrates with popular tools like PostHog, Sentry, Slack, and Linear
- Privacy-focused with PII redaction and read-only OAuth
Cons
- Pricing not publicly disclosed
- Requires integration with session data sources (e.g., PostHog, Sentry)
- No self-hosted option mentioned
- May generate fixes that require developer review
- Limited information about supported programming languages or frameworks
Official website: https://heyopsis.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/opsis