Autonomous QA for Modern Teams.
Launch an AI agent to explore your product, catch regressions, and verify UX before your users do. Trigger runs from Linear, GitHub, or plain English — reports land in the same thread.
Error message "Invalid ZIP" appears briefly but disappears after 500ms. UX friction confirmed.
expect(button).toBeVisible(); // PASS expect(title).toHaveText("Success"); // PASS // logic is sound, but...
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Visual Regression
Button is visible but overlaps the headline on mobile resolutions.
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UX Friction
"Success" message disappears before user can read it.
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Logical Ghosting
Modal closes when clicking outside, losing 10 minutes of input data.
Manual QA doesn't scale.
Unit tests
don't think.
Langoustine acts as a detail-oriented human explorer. It finds the edge cases and UX "paper cuts" that your scripted automation was never programmed to look for.
Zero Setup
No test framework required. No scripts to write. Point Langoustine at any URL and it gets to work.
Exploratory
No scripts to maintain. Langoustine learns your app's structure and questions every flow.
Interface
Tell it what to test. In plain English.
Type a goal in a Linear comment, a GitHub PR, or the web chat. The agent gets to work and streams live in the same thread — results land right there when it's done.
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Just describe the goal. No configuration, no selectors, no test scripts to write.
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Live narration. Watch the agent describe each step as it happens.
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Results in the thread. Findings, screenshots, and severity report come back inline.
Test the sign up flow
I'll test the sign up form with invalid and valid data, check error handling, and verify the confirmation email gets delivered.
Langoustine · starting run
Works With Your Stack
Native integrations with Linear and GitHub. More trackers coming.
Webhook Triggered
A Linear issue changes state or a GitHub PR opens → Langoustine starts a run automatically.
Findings Filed Automatically
Every bug becomes a Linear sub-issue or a GitHub comment — linked back to the original ticket or PR.
Bidirectional Sync
Run URLs, findings, and status post back to your issue tracker in real time.
Integration Workflow
How Langoustine Works
Connect Environment
Point Langoustine to your staging or production endpoint. No code changes required.
Trigger a Run — Your Way
Chat with the AI assistant in plain English, kick off a run from a Linear issue or a GitHub PR, or automate on status changes. Langoustine fits into the workflow you already have.
Agent Explores & Records
The agent narrates its intent live, takes screenshots, and records a video clip of every step — so you see exactly what it did and why.
Structured Report in Your Tracker
A dedicated Reviewer agent synthesizes findings into High / Medium / Low severity categories with reproduction steps. Bugs file themselves automatically — as Linear sub-issues or GitHub comments, linked back to the original ticket or PR.
Product Intelligence
Documents your product.
Gets smarter every run.
As the agent explores, it builds up a living knowledge base of your product — its flows, its quirks, its edge cases. That knowledge feeds back into every future run, so coverage grows automatically without you writing a single line.
Self-Documenting
The agent writes down what it learns about your product's structure and behavior.
Runs Faster Over Time
Every run teaches it more — shared test accounts, known URLs, familiar flows. Less time exploring, more time finding bugs.
AGENTS.md
Drop an AGENTS.md
in your repo to teach the agent your product's conventions, known quirks, and critical flows. Checked in, reviewed like code.
Analysis Vector
Uncovering what scripts miss.
A dedicated observer that understands visual hierarchy, state, and human-centric UX patterns.
Visual Regressions
Detects overlapping elements, broken layouts, and inconsistent styling across viewports.
UX Friction
Identifies confusing flows, missing feedback, and interactions that "just feel wrong."
Edge-Case Logic
Questions complex state changes and form validations that scripts often ignore.
A11y Constraints
Highlights missing ARIA labels, poor contrast, and keyboard navigation blockers.
Email Flow Testing
The agent receives real emails your app sends — password resets, confirmations, notifications — and clicks through the links to validate the full flow.
Step-by-Step Video
Every agent action is captured as a real browser video — not a reconstruction. Replay exactly what happened, step by step.
Architecture Comparison
Automation checks assumptions.
Langoustine questions them.
AGENTS.md
Ready to automate.
Stop relying solely on scripts and spot checks. Augment your engineering cycle with autonomous QA today.
Status: Private Beta