AI Runner
AI-driven development platform for teams

Up to 30% more efficient development – AI Runner implements overnight, by morning only the release is left.

Planning, implementation, code review, verification and documentation on one cloud platform. While the runner develops in the background, your team moves on: 30% faster delivery, less routine work, more time for planning and judging.

How does it work?

1

Plan in a chat

Plan user stories and acceptance criteria with the AI from a brief, documents or the live codebase, then create the work items with one click.

2

Automated implementation

The runner implements the stories in an isolated container, even overnight, and opens stacked, easy-to-review pull requests.

3

Review and verification

An independent AI review fixes the issues, and verification runs a UI test on the finished feature, recording a subtitled video for every acceptance criterion.

4

Approve and document

You only judge: watch the video, approve and merge. The end-user manual is updated automatically.

One platform for the whole development cycle

AI Runner is not another chat window. It is a set of runnable workflows that operate on your existing repositories, work items and pull requests.

Interactive planning chat
For new projects the AI builds an editable story list from documents; for existing ones from a graph of the live codebase. Work items are created only after your approval, in one batch, without duplicates.
  • Input from a brief, uploaded documents or CRM data
  • Size estimate and acceptance criteria for every story
  • One click: work items in Azure DevOps
Stacked implementation
Implements an ordered chain of stories in a single run: each story branches off the previous one and gets its own pull request. Clean, incremental diffs that merge bottom-up.
  • One run, one clone, the whole story chain
  • Stacked branches and pull requests
  • Mono-repo and multi-repo support
AI code review and fix
Independent AI review on freshly opened or existing pull requests: the reviewing session does not trust the implementer. Open review comments are fixed automatically.
  • Review and fix in separate sessions
  • Fixes open comments on existing PRs
  • Build, test and lint validation in every round
UI testing with subtitled video
Verification clicks through the finished feature in the browser and records a subtitled video for every acceptance criterion: you see what was tested and what the result was. Whatever cannot be automated is explicitly flagged for manual checking.
  • Automated UI test on the finished feature
  • Subtitled video and screenshots for every criterion
  • Checked in minutes, approved in the console
Code analysis
Read-only analysis with a senior-architect lens: technical debt, security, performance, code quality and architecture. Findings appear as filterable work items.
  • Never modifies code
  • Stories tagged by category
  • Frontend and backend branches analysed separately
User manual generation
Screenshot-illustrated end-user documentation for the whole application. Idempotent: only changed chapters are updated and hand-written blocks are preserved.
  • Automatic feature discovery
  • Annotated, masked screenshots
  • Delivered as a pull request, template-driven

A developer's workday – three ways

Manual coding, AI-assisted coding and AI Runner: see how many tasks get done in the same working hours, and what happens after the developer goes home.

1. Manual CodingA meeting, then typing all day: one task is done by the end of the working day.
2. With AI codingAI speeds things up and tasks finish one after another, but attention drifts: two tasks in a day.
3. With AI RunnerSeveral tasks run in parallel, the runner keeps working overnight, and one button in the morning ships the result.

Why AI Runner?

A cloud service that develops with your tools and by your rules – with measurable speed-up and full transparency.

Start it in the evening, find finished pull requests in the morning.

Start the work in the evening; the runner implements, reviews and verifies overnight – by morning only the release is left. Your team's time goes to planning and judging, the routine work is the platform's job.

+30%
developer efficiency
30%
faster delivery
24/7
development in the background

A run in the console

  1. Queued
    The run enters the queue with its parameters.
  2. Claimed
    A free cloud runner claims it in a transaction.
  3. Implementation
    Code and tests are produced in an isolated container.
  4. Pull request
    Branch, commit, PR against the right base.
  5. Review and fix
    Independent AI review, then automatic fixes.
  6. Verification
    UI test with subtitled video, ready for approval.

Plans

Pick the plan that fits your team. AI Runner is a cloud service: nothing to install or operate, your team starts and follows everything from the console.

Starter
On request
For a team that is just starting with AI-driven development.
  • 1 parallel run
  • 1 project
  • Planning, implementation and AI review
  • Email support
Popular
Team
On request
For development teams working on several projects.
  • Up to 3 parallel runs
  • Unlimited projects
  • Verification and manual generation
  • Roles and protected projects
  • Priority support
Enterprise
Custom
For software companies and enterprise engineering organisations.
  • Unlimited parallel runs and projects
  • External Git providers (GitHub, GitLab, Bitbucket)
  • Offer chat and sales workflow
  • SLA and dedicated onboarding
  • Custom MCP integrations

Prices and plan limits are being finalised. Request a demo and we will send a tailored offer.

Request a demo

Show us how your team works and we will walk you through AI Runner in a 30-minute demo – from planning to a finished pull request.

Demo request
What happens next?

  1. We reply within one business day and agree on a time.

  2. In the demo we show a real run in the console, similar to your project.

  3. Pilot: on your repository, with one real story – started in the evening, PR ready by morning.

Response time

Within one business day