Build your app with AI. I help you launch it, secure it and keep it running.
Have an idea but no engineering team? You build it with AI. I take care of the technical side.
AWS Solutions Architect
AI can build fast. It still needs a safety net.
AI tools can get you a working app quickly. They can also get things wrong, and they do not look after what the app runs on.
What AI tools are good at
- Turning your idea into screens and features
- Getting a first version working fast
What your app still needs
- Review what AI builds because it can get things wrong
- Plan the right structure architecture, database, how the parts fit together
- Package it to run the same everywhere containers, local development setup
- Add automatic tests so changes do not break things
- Set up the cloud and deploy changes automatically
- Plan for growth handling more users and traffic as you grow
- Secure it, keep it updated and the bill under control
What I offer
A one-off setup to get you started, then a simple monthly fee while I look after security, updates and day-to-day running.
Initial setup
I design the architecture and build the project template your team builds on, set up the way professional teams run production systems, following AWS Well-Architected principles.
- Stack selection and architecture design
- Docker-based local development environment, with tests you can run locally
- CI/CD pipelines with GitLab or GitHub Actions, running automated tests and security checks
- AWS cloud infrastructure as code with Terraform: separate staging and production
- Set up to handle growth, so more users do not mean starting over
- Budget alarms and a monthly cost forecast from day one
Guided build
Your team builds the app with AI tools inside the guardrails, and I stay alongside.
- Security review of the code as it is written
- Keeping the app on the agreed architecture
- Help whenever you get stuck
- Infrastructure access is restricted, reducing the risk of accidental changes
Managed operations
After go-live I run the platform so you can focus on the product and your customers.
- Security scanning, log monitoring and blocking suspicious requests
- Bug checks, regular security updates and upgrades for your runtimes, libraries and databases
- Efficient resource use and a predictable AWS bill
How it works
Clear guardrails let non-engineers move fast with AI tools without putting the business at risk.
Plan
I choose the right setup for your product and your budget, not the trendiest one, with room to grow.
Set up
I build a ready-to-use starting point. It runs on your computer, deploys automatically, and has separate test and live versions.
Build
You build the features with AI tools. Automated tests run on every change, and my reviews help catch security issues.
Look after
After launch I monitor security, logs and costs, keep software up to date, and step in when something needs attention.
Keeping your cloud costs in check
Cloud bills can quietly grow when nobody is watching. I design for cost from the start and keep an eye on it after launch.
Monthly cost forecasts
You get a clear estimate of what the platform will cost before the bill arrives, so you can plan ahead.
Budget alarms
AWS budgets and alerts are set up from day one. If spending drifts off forecast, you are alerted early, not at month end.
Staging off when not in use
Staging is switched off when nobody is using it and rebuilt automatically when needed, so you pay for it only while it is in use.
Ongoing optimisation
I review usage regularly and remove or resize what is not needed, to help keep cost in line as the product grows.
Recent project
Client details are kept confidential.
Digital coupon and loyalty web app for a marketing business
- Livein production
- No server errorsin its first week
- Thousandsof attacks blocked
- The problem
- A small team of sales specialists knew exactly what they needed, a web app that lets businesses run digital coupon campaigns for their customers, but had no engineers to build it.
- What I did
- I chose the architecture and built the starting setup: a Docker development environment, GitLab pipelines, and AWS staging and production defined in Terraform. The team then built the app themselves with AI tools inside that setup, while I reviewed security and helped whenever they got stuck.
- The result
- The app is live in production and handles customer data. Traffic grew steadily through its first week after launch, with fast response times and no server errors, while a web application firewall blocked thousands of automated attacks and bad-bot requests. I look after its security, monitoring and updates on a monthly basis.
Tools I work with
My day-to-day stack. I'm open to other tools when a project needs them.
Infrastructure & security
Languages & frameworks I can review
Databases
About
I'm John, a DevOps consultant and AWS Certified Solutions Architect – Associate, based in Broadstairs, Kent, UK.
I help startups and businesses build their own apps with AI tools, without needing a full engineering team at the start. I have 12 years of experience building apps and managing projects and teams, including setting up offshore teams in India for technology companies. I set up the AWS cloud environment, with deployment and separate test and live versions, then look after it with monitoring, security updates and cost alerts. You build the app, and I take care of the cloud, security and updates behind it. See my LinkedIn profile.
Let's talk
Got an app idea, or something built with AI that needs a proper home? Send me a short note and I'll tell you what it would take.