The control layer for agent driven software development.

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.

B418P1 · High
Due today ignores the LAUNCH30 coupon
Screenshot · markedReportConsole 5Network 8
Ready for your coding agentFixed and verified in the browser
Coding agentB418
› Reading B418: screenshot, report, console, network
› Plan approved by Maya
› Editing src/billing/order-summary.ts
- dueToday = subtotal + tax
+ dueToday = subtotal - discount + tax
› Running tests
✓ 38 passed · billing verified in the browser

See the product, not just the promise

One issue. A clearer path.

Follow one checkout bug from captured evidence to a human-reviewed plan, local execution and QA.

  1. 01 · Capture

    A bug report starts with evidence.

    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.

    • Screenshots, recordings and narration where supported
    • Browser events and environment context
    • Reporter chooses what gets submitted
    A checkout screenshot annotated in the Aproow extension, with the report ready to submit
  2. 02 · Understand

    The report becomes actionable.

    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.

    • One named, owned work item
    • Raw evidence kept separate from interpretation
    • Relevant detail stays available for engineering
    Aproow B418 with the problem, observed and expected behaviour prepared for review
  3. 03 · Approve

    Review the plan before work begins.

    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.

    • Versioned plan and human review
    • Approval does not imply commit or merge
    • Request changes creates a fresh review decision
    The B418 implementation plan with Approve exact version and Reject
  4. 04 · Run locally

    Your agent works in your environment.

    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.

    • Code stays on your machine and in your editor
    • Aproow MCP shares the task, never your source
    VS Code with Claude Code reading Aproow B418 through Aproow MCP in the terminal
  5. 05 · Verify

    The final word belongs to people.

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

    • Original acceptance criteria stay visible
    • Human verification remains independent
    • Clear outcome, not just “agent completed”
    The case tracker with each fix marked human verified or awaiting human verification

The problem

The problem isn’t the bug.
It’s everything between.

Useful observations are easy to lose once teams start handing them off. Aproow keeps the context connected to the work.

Explore the detailed problem analysis

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.

Clarification loops

Too many handoffs.

“Which page?” “What exactly happened?” “Can you record it?” The questions delay investigation long before anyone writes code.

No clear finish line

Implemented ≠ verified.

A good-looking patch is not proof that the original problem is solved. Approval, changes and QA need to stay in one visible history.

One workflow, different people

Built for the people behind the product.

Each team gets the detail it needs without losing the same underlying work item.

Modern team, clear control

Your team works in sync. You stay in control.

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 more
Command Centre with recently updated Aproows and recent activity
Modern team, clear control

Your team works in sync. You stay in control.

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 more
Command Centre with recently updated Aproows and recent activity

Your stack, your choice

Works where your team works.

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.

The Aproow extension open over a checkout page in the browser

+ more

Capture the problem in any browser.

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 with Claude Code working on Aproow B418 through Aproow MCP in the terminal

VS Code extension

Hand the task to your coding agent.

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

Pull from and push to any board.

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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Works with any AI agent.

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

Start free.
Pay per seat only when you need more.

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

Free

Organization administration, reports and collaboration.

€0

No seat needed

Start free

Includes:

  • No commercial creation counter
  • 90-second recordings · 100 MiB per Organization
  • Comments, Direct sharing, Files and read-only MCP

Paid actions

Paid Seat

One person’s AI and operational work in one Organization.

€14.99/ seat / month

or €164.89 per seat a year

Choose Paid Seat

Everything in Free, plus:

  • AI assistance and transcription
  • Operational editing, review and assignment
  • Development handoff · 100 GiB per usable seat
  • 14-day Organization trial, explicitly activated

Calculate time saved

Less back-and-forth.
More time to build.

Every unclear bug report costs time: writing it up, answering follow-up questions, reproducing it. Put in your team’s numbers.

Your team

8 people

Everyone who reports, triages or fixes bugs.

3 reports

Reports from users, QA and internal testing. About 24 a week for the whole team.

30 min

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.

Stop losing context.
Start shipping.

Join small teams, founders and builders who use Aproow to keep their product moving.

Start free