DevOps

We build the pipelines, guardrails and infrastructure that let your team ship changes quickly without sacrificing security or stability — including taking vibe-coded projects built with AI tools and making them genuinely safe to run in production.

  • Vibe-coded projects reviewed, hardened, deployed and hosted
  • CI/CD pipelines built for your stack
  • Security and compliance baked into delivery
  • Infrastructure as code, monitored and repeatable
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Abstract render of a connected pipeline of modular checkpoints and processing units

Shipping changes safely, and quickly

Good DevOps isn’t about adopting every tool — it’s about a pipeline your team actually trusts, with the right checks in the right places so releases stop being an event.

Deploying and hosting vibe-coded projects

AI coding tools have made it genuinely fast to get from idea to working software. Claude Code, Cursor, Copilot, Lovable, Bolt, v0, Replit — people are building real, useful applications this way, and the prototype often works exactly as intended.

The gap is everything between “it works on my machine” and “it’s safe to put in front of customers”. That gap is not about the quality of the idea, and it isn’t a criticism of building this way — it’s simply the part that AI tools don’t finish for you. It’s also precisely what we do.

What we typically find and fix:

  • Exposed secrets — API keys and tokens committed to the repository or shipped to the browser, moved into proper secret management
  • Unprotected endpoints — API routes with no authentication or authorisation, and database rules that trust the client
  • Input handling — missing validation, unescaped queries, and the injection risks that follow
  • Dependencies — packages with known vulnerabilities, or abandoned ones that need replacing
  • No safety net — no error handling, no logging, so the first you hear of a problem is a customer

What we put in place:

  • Real hosting — moved off the AI tool’s preview sandbox onto infrastructure you own, with your own domain and properly configured TLS
  • A production database — migrated off local or throwaway storage onto something managed, with migrations, automated backups and a tested restore
  • A deployment pipeline — so your next AI-assisted change ships through review, tests and a staging environment, with a one-step rollback when something is wrong
  • Monitoring and alerting — uptime, errors and cost, so you find out before your users do
  • Documentation — what runs where, and how to change it, written for whoever picks it up next

Then we keep it running. Most people who build this way don’t want to become an operations team. Our supportive hosting service covers the monitoring, patching and incident response afterwards, so the thing you built stays up without you watching it.

You keep building the way you like working. We make sure what you build can be trusted in production.

What’s typically included

  • CI/CD pipeline design and implementation for your existing stack
  • Infrastructure as code, so environments are repeatable and reviewable
  • Security and compliance guidelines built into the delivery process, not bolted on after
  • Monitoring and alerting so issues are caught before customers notice

Who this is for

Development teams that want to move faster without losing control of security, stability or cost — and founders and small teams who have built something real with AI tools and now need it hosted properly.

Get in Touch

We love to meet prospective and existing customers

Give us a call — we'd love to meet and talk about what you're building or supporting.