Screenshots without context
A screenshot helps, but it still leaves developers asking for the browser, URL, console error, network request, and what actually happened.
Bug reporting for fast-moving teams
BugPort turns screenshots, annotations, logs, network requests, and device details into fix-ready reports for Claude, Codex, Copilot, and your team.
Built for AI-coded products, staging apps, QA teams, and fast-moving product teams. Need the widget? Install `@bugport.ai/widget`.
Problem
Fast teams do not need more screenshots. They need shared context that explains the bug before someone starts reproducing it.
A screenshot helps, but it still leaves developers asking for the browser, URL, console error, network request, and what actually happened.
Bugs arrive through Slack, WhatsApp, Loom, email, Notion, screenshots, and random DMs instead of one shared workflow.
Teams shipping with AI tools create product surface area faster than traditional QA handoff processes can keep up with.
Too much debugging time is spent reconstructing the environment instead of fixing the underlying issue.
Auto-fix
Click Auto-fix and an agent fixes the bug on your own GitHub Actions or GitLab CI — then opens a pull request, or auto-merges safe UI and translation fixes. Zero load on BugPort's servers.
fix: pass currency to charge() on checkout #128
- charge(total)+ charge(total, currency)Runs on your GitHub Actions or GitLab CI — $0 on BugPort's servers. Safe UI, copy & translation fixes auto-merge; everything else opens a pull request for review.
Product
Use the right capture entry point for the job, then route everything into a shared dashboard your team can actually work from.
Browser plugin
Built for internal teams and QA. Install the Chrome extension and capture screenshots, annotations, console logs, and network requests on any website.
Website widget
Drop the BugPort widget into staging, beta, or production. Users and testers submit structured bug reports without installing a browser extension.
Dashboard
Every submission lands in a shared dashboard. Inspect screenshots, logs, network activity, metadata, comments, and track status.
Context
Every bug submission includes the visual, the note, the page, the browser, the logs, the network activity, and the workflow detail. No more chasing missing information.
Submit button unresponsive on pricing page
“The submit button doesn't respond when clicked on the pricing page. Tried Chrome and Firefox.”
Developer install
Install the widget in staging, beta, or production so users and testers can report bugs directly from your product.
Install
npm install @bugport.ai/widgetReact example
import { BugPortWidget } from "@bugport.ai/widget";
export function App() {
return (
<>
<YourApp />
<BugPortWidget
projectKey="bp_pub_xxxxx"
environment="staging"
apiBaseUrl="https://api.bugport.ai/v1"
user={{
id: "user_123",
name: "Jane Doe",
email: "[email protected]"
}}
/>
</>
);
}Use cases
BugPort is useful when products move quickly, feedback comes from many places, and debugging needs context instead of guesswork.
Turn vague feedback from AI-built apps into structured debugging context your coding agents can use.
Stop losing bugs in DMs. Capture structured reports from testers and fix issues before launch.
Centralize testing feedback with screenshots, annotations, device metadata, and console logs.
Give PMs and designers a visual way to report issues without writing technical bug tickets.
Let clients report bugs directly from staging without messy email threads or scattered screenshots.
Capture the full technical context when users report issues so engineers get fix-ready details on the first handoff.
Integrations
Start in BugPort's dashboard, then connect the tools your team already uses. Some integrations are live, others are planned or designed for future AI workflows.
Ready when your team is
Give your team and AI coding tools the context they need to fix issues faster.