A person approves anything risky
Production deployments, database migrations and secret changes pause for a human decision, with an explanation of what will happen and a recorded decision behind it. Speed is not worth a change nobody chose to make.
About
Code got easy. Software did not.
GetFlowing is an AI-powered software delivery platform. It exists because generating code stopped being the bottleneck, and everything around the code did not.
What GetFlowing is
A platform that coordinates AI engineering agents across the full software lifecycle: planning, building, testing, containerising, deploying to AWS, monitoring, maintaining and improving software, on new applications and on the systems a business already runs. Humans stay in front of the decisions that carry risk.
- A person approves anything risky
- You own the repository and the infrastructure
- The whole lifecycle, not one stage
Why we built it
The bottleneck moved.
AI made it easy to produce working code. It did not make it easy to run a business on that code, and the work that decides whether software survives is still the work nobody has capacity for.
Deciding what to build, in enough detail that the work is safe to start and the person approving it understands what they are approving. Turning a change into a release: tests that mean something, a container image, cloud infrastructure that updates without downtime, and a rollout that can be explained afterwards. Then keeping the thing alive, which means watching production, investigating incidents with the context that caused them, and maintaining an application months later when the original reasoning is gone.
None of that is glamorous, and all of it is where software goes wrong. GetFlowing was built around it rather than around the part that already works.
It is built for teams that need delivery capability rather than another tool: startups taking a validated idea to production software, businesses with software they depend on and nobody left to maintain it, agencies winning work faster than they can staff it, and product and operations teams working alongside a stretched engineering function.
Principles
Three things we will not trade away.
These are product decisions, not marketing lines. Each one shows up as behaviour in the platform.
You own the repository and the infrastructure
Repositories stay in your GitHub account and cloud resources stay under your control. A delivery platform should be something you can walk away from with your software intact.
The whole lifecycle, not one stage
Planning, implementation, testing, containerisation, deployment, monitoring and maintenance belong in one system. Splitting them across tools is how context gets lost between the stage that caused a problem and the stage that finds it.
Private beta
Bring software delivery into one system.
Build something new or take control of what already exists. Get the planning, engineering, deployment, and operational capability of an experienced software team.