getflowing.ai
Private beta · early access opening soon

Describe what you want. Your AI software team builds it, deploys it, and keeps improving it.

Connect GitHub and Slack, then talk to an agent that plans the work, writes the code, ships it to AWS, and maintains it, with no developers, DevOps, or cloud to manage.

No credit card · Your code stays in your GitHub

agent · barbershop-booking

Create a booking app for my barbershop.

On it. Planning the build, opening a repo, and shipping a first version.

Repository createdgithub.com/flowing/barbershop-booking
Code generated14 files · Next.js + Postgres
Dockerisedimage built · linux/amd64
Deployed to AWSFargate · us-east-1
barber.apps.getflowing.aiLive

Works with the tools you already use

GitHubSlackAWSDocker
The problem

Getting software built and shipped is still too hard.

Most businesses don't want to manage developers, DevOps, GitHub, Docker, or AWS. They just want the software: working, live, and able to change when the business does.

Developers are expensive

A small product team costs more every month than most businesses can justify before they have shipped a thing.

Hiring is slow

Months of interviews to find people who can build, deploy, and maintain software you can rely on.

DevOps is its own job

Docker, pipelines, networking, secrets, rollbacks: complexity that has nothing to do with your product.

The cloud is confusing

AWS has hundreds of services and a thousand ways to misconfigure them. One wrong setting is a bad week.

No-code hits a wall

Drag-and-drop tools are fine until you need something real. Then you are stuck, and so is your business.

AI tools still need engineers

Coding copilots help people who already know how to ship. They do not actually ship the software for you.

The shift

An AI software team for the entire lifecycle.

It doesn't just generate code. It understands your idea, plans the work, builds and ships it to your own GitHub and the cloud, then watches it and improves it over time, the way a real team would.

Understands
Plans
Builds
Ships
Monitors
Improves

One agent, the full path from idea to a live URL, and every iteration after.

How it works

From a message to a live app, in five steps.

No project setup, no infrastructure, no handoffs. You talk; the agent ships.

  1. 01

    Connect GitHub and Slack

    A one-time setup. Your agent gets a workspace and exactly the access it needs. Your code and conversations stay in your own accounts.

    github · slack · connected
  2. 02

    Tell the agent what you want

    In plain English, from Slack or the dashboard. No tickets, no specs, no syntax. Just describe the outcome you want.

    “Build a booking app for my barbershop.”
  3. 03

    It plans, builds, and opens a repo

    The agent scopes the work, writes the code, and pushes it to a fresh repository in your GitHub, with a clear history you own.

    + flowing/barbershop-booking
  4. 04

    It deploys to the cloud

    Dockerised and shipped to AWS automatically, with a live URL. No infrastructure for you to configure, secure, or babysit.

    barber.apps.getflowing.ai · live
  5. 05

    Keep improving through chat

    Ask for changes the way you would talk to a developer. Every risky action comes with a plan, an approval step, and a rollback path.

    “Add cancellations” · planned
The product

One console for every app you ship.

Projects, deployments, health, domains, approvals, and logs: the same surface the agent works in, so you always see what it's doing.

app.getflowing.ai

barbershop-booking

Livebarber.apps.getflowing.ai
Latest deploymentsuccess · 2m ago
Build0:42
Test0:18
Dockerise0:55
Deploy1:20
Uptime99.98%
p95 latency42ms
Requests12.4k/day
Recent activity
  • Deployed v1.5.0 to production2m
  • Opened PR #12 · Add cancellations8m
  • Health check passed · all regions12m
  • Autoscaled to 2 tasks1h
Natural language

Run your software the way you talk.

Ask for what you want from Slack or the dashboard. The agent understands the intent, does the work, and reports back, just like messaging a developer who never goes offline.

  • No tickets, specs, or syntax to learn
  • Context kept per project, so follow-ups just work
  • Risky changes always come back for approval first
Request early access
#flowing · barbershop-booking

Create a booking app for my barbershop.

M

Planned it, opened a repo, and shipped a first version.

barber.apps.getflowing.ai · live

Add cancellation support.

M

Done. Opened a pull request with the change for you to review.

PR #12 · ready

Why is my app down?

M

It isn't. Uptime is 99.98% and the last deploy was 2 minutes ago.

health · all green

Make the homepage feel more premium.

M

On it. A preview deploy is ready for your approval before it goes live.

preview · awaiting approval
Message your agent… send
Capabilities

Everything a software team does, in one agent.

Not a copilot that helps you code. A team that builds, ships, and maintains the software for you.

AI software development

A team that writes real code in your stack, and keeps it healthy.

  • Create apps
  • Add features
  • Fix bugs
  • Refactor code
  • Improve the UI
  • Write tests

Deployment & DevOps

Everything between “it works on my machine” and a live URL, handled.

  • Docker by default
  • AWS deployments
  • Generated domains
  • Custom domains
  • Logs & health
  • One-click rollback

Project management

It remembers your projects and how they fit together.

  • Project registry
  • Project memory
  • Onboard existing apps
  • Multiple projects
  • GitHub ownership
  • Slack control

Safety & trust

Powerful actions, with guardrails you can see.

  • Approvals
  • Audit logs
  • Tenant isolation
  • Secrets handling
  • Rollback plans
  • Deployment history
flowing/barbershop-booking
your repo
mainfeat: add cancellation support2m ago
TypeScriptCSSOther
PR #12 open14 deploymentsmain protected
Ownership

Your code stays yours.

getflowing manages the delivery (planning, building, shipping, and maintaining), but the software lives in your GitHub, under your account. Nothing is trapped here.

  • Connect your own GitHub organisation
  • New apps land in fresh repos you own
  • Onboard and manage existing repositories
  • Changes arrive as reviewable pull requests
  • A full, honest deployment history
  • No lock-in. Leave any time, code in hand
Deployment

From code to a live app, automatically.

The same path a senior platform team would build, without you touching Docker, AWS, or a deploy pipeline.

Codewritten in your stack
Dockercontainerised
AWSFargate + RDS
Domaingenerated or custom
Livewith health checks
You never have to understand AWS. The agent provisions and configures it.
Every app gets a generated URL instantly; attach a custom domain when you’re ready.
Production actions can require approval, with a clear plan and a rollback path.
Use cases

If it's software your business needs, it can build it.

From a first MVP to the internal tools that keep you running, described in a sentence and shipped to a real URL.

Booking apps

Appointments, slots, and reminders for barbershops, clinics, studios, and tutors.

Internal tools

The small apps your team keeps asking for, without the engineering backlog.

Client portals

Branded spaces where customers log in, see status, and take action.

Admin dashboards

Operational views over your data: search, filter, edit, and export.

CRM tools

Lightweight pipelines and contact systems shaped around how you actually work.

SaaS MVPs

Get a real, deployed product in front of users while the idea is still hot.

Marketplace MVPs

Two-sided listings, profiles, and basic transactions to test demand.

Reservation systems

Tables, rooms, equipment, and events, with availability and confirmations handled.

Workflow automations

Forms, approvals, and back-office flows that replace the spreadsheet.

Early access

Your next app shouldn’t take months to reach production.

Early access is opening for founders, small businesses, and agencies. Join the list and be first to build with your AI software team.

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