Safe Build Environment
Let your people build with AI, with the safeguards already in place.
This is for organisations and agencies where people who are not developers are already building tools with AI. We set up an environment that catches the usual mistakes automatically, so your people can keep building quickly and what they build is safe to put live.
Why
In many organisations, people outside IT are already writing software.
Marketing and operations teams are building plugins, automations and internal tools with AI, and plenty of them work well. What is usually missing is the safety equipment developers take for granted, and that is no reflection on anyone's skill.
Banning AI tools will not stop this from happening; it simply moves it out of sight. A safe build environment keeps the work visible, recorded and checked, without slowing anyone down.
What we set up
We set up six things, all in your own accounts and owned by you.
A repository
Every change is saved and recorded, so you can see what changed, when and why, and undo it if you need to. Folders full of files called "final-v2-working.zip" become a thing of the past.
Automated checks on every change
Before anything is merged, the checks scan for security problems, known weaknesses in the third-party packages your code relies on, failing tests and poor code quality, so problems are caught within minutes of being made.
A staging environment
This is a private copy of the live system where changes are tried first, so that if something is going to break, it breaks there rather than in front of your customers.
Proper handling of secrets
Passwords and API keys (the credentials that let one system talk to another) are kept out of the code and out of chat histories, and stored where only the running system can read them.
An AI assistant set up with your rules
We give Claude Code, Copilot or Cursor written instructions about your systems, your data and your standards, so the code it writes fits from the start.
Half a day of training
The training is for the people who will be building. It covers how the safeguards work, how to ask the AI for safer code, and how to tell when it is time to call a person.
Everything lives in accounts you own, on GitHub, Azure DevOps or GitLab, and we document it all. If you stop working with us, it all carries on working.
Later on
You can add a senior reviewer when you need one.
The automated checks catch a great deal, but they cannot weigh up who should be allowed to see what, what a change will cost to run, or whether a design will still make sense next year. Those questions need a person.
If you pair a Safe Build Environment with Oversight, one of us will review every change before it reaches production. If you already have something live, we would suggest starting with a Production Readiness Review.
Who you'll talk to
- Chris
Technical Director and founder
Chris sets the environment up with your team and runs the training, so you will know exactly who to ask when something does not make sense.
Production Readiness Review
In five days, we will tell you whether it is ready to go live.
The price is fixed before we start, from £1,500. You will receive a short report with a red, amber and green summary, and the ten fixes that matter most, in the order we would tackle them.