Lost context
Scattered evidence.
The screenshot lives in chat, the reproduction steps in a ticket, and the decision somewhere else. People end up reconstructing the same issue.
Capture bugs and ideas, keep context and decisions connected, approve implementation plans, and move work through coding agents to QA verification. Everything happens in one workflow for people and AI agents.
messages about bugs a 20-person team sends every month
Chats, email, screenshots, voice notes and “quick questions”. Scattered everywhere.
Aproow turns all of it into one clear issue.
Your coding agent fixes it. Aproow checks that it works.
See the product, not just the promise
Follow one checkout bug from captured evidence to a human-reviewed plan, local execution and QA.
A tester sees the checkout drop a promo code after a declined card. They capture what happened from the extension, review their evidence and submit one record.

Aproow keeps the original observation alongside structured context. On paid reporting plans, AI can prepare observed, expected and reproduction steps for a human to verify.

A developer opens the task in VS Code, where their coding agent prepares a plan through Aproow MCP. A reviewer explicitly approves the exact version before any work starts.

The VS Code extension starts Claude Code or Codex in your terminal, pointed at the task. The agent reads the report through Aproow MCP and works in your own repository.

The original report stays the reference. A person checks the fix against the observed and expected behaviour and decides whether the bug is verified.

The problem
Useful observations are easy to lose once teams start handing them off. Aproow keeps the context connected to the work.
Explore the detailed problem analysisLost context
The screenshot lives in chat, the reproduction steps in a ticket, and the decision somewhere else. People end up reconstructing the same issue.
Clarification loops
“Which page?” “What exactly happened?” “Can you record it?” The questions delay investigation long before anyone writes code.
No clear finish line
A good-looking patch is not proof that the original problem is solved. Approval, changes and QA need to stay in one visible history.
Each team gets the detail it needs without losing the same underlying work item.
Help product, design, QA and engineering make the most of modern AI workflows without replacing the tools they already use. Clear handoffs, agent-ready context and visible reviews mean less chasing updates and more confident decisions.
Learn moreHelp product, design, QA and engineering make the most of modern AI workflows without replacing the tools they already use. Clear handoffs, agent-ready context and visible reviews mean less chasing updates and more confident decisions.
Learn more
Your stack, your choice
Report the problem in the browser where you saw it. Aproow hands it to your coding agent through MCP in the editor where you fix it. A person approves the plan, your own AI does the engineering, your code stays on your machine.

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Take a screenshot or record the page with or without your voice. Aproow keeps the evidence with the report, with console, network and action context where supported.

VS Code extension
Open an Aproow in VS Code and the extension starts Claude Code or Codex in a terminal, pointed at that task. The agent reads it through Aproow MCP: local STDIO, paired to your workspace. MCP does not invoke Plan or APPLY, expose local tools or accept source code and diffs.
Trello
Trello, Asana and the boards you already run. Pull ideas and business requests in as clear developer tasks, then push progress and results back to the board as work moves through execution to QA acceptance. It runs both ways, all orchestrated in one place.
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VS Code, Claude, Codex, Gemini, Cursor, Copilot and any other AI client connect the same way. Pick your tools. Aproow fits into your process, not the other way round.
Pricing
Access is assigned per person. Owner and admin permissions are separate from paid product access, so a workspace payer can stay on Free while paying for the team.
Work together
Organization administration, reports and collaboration.
€0
No seat needed
Includes:
Paid actions
One person’s AI and operational work in one Organization.
€14.99/ seat / month
or €164.89 per seat a year
Everything in Free, plus:
Calculate time saved
Every unclear bug report costs time: writing it up, answering follow-up questions, reproducing it. Put in your team’s numbers.
Your team
Everyone who reports, triages or fixes bugs.
Reports from users, QA and internal testing. About 24 a week for the whole team.
Writing it up, clarifying it in chat, reproducing it before work starts.
What you get back
43hours a month
That is about 5.4 working days a month, or 1.3 h per person every week.
Assumes a bug takes about 5 minutes with Aproow: it is captured once with its evidence, so nobody has to ask again. A month is 4.3 weeks; a working day is 8 hours.
Join small teams, founders and builders who use Aproow to keep their product moving.
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