Conventional DevOps work delivered at unusual speed. AI does the grunt work; the judgement stays senior.
Key benefits
- Mechanical work moved through at agent speed: modules, pipeline ports, test coverage
- Audits that cover an entire estate down to the last module
- Architecture, security boundaries and anything touching production reviewed by a principal engineer
- Tests and documentation produced as part of the work, not deferred out of it
- Work that was previously uneconomic becomes affordable enough to commission
Technologies & tools
- Claude Code(opens in a new tab)
- MCP(opens in a new tab)
- Terraform(opens in a new tab)
- OpenTofu(opens in a new tab)
- AWS(opens in a new tab)
- Kubernetes(opens in a new tab)
- GitHub Actions(opens in a new tab)
- GitLab CI/CD(opens in a new tab)
Perfect for
- Organisations carrying more infrastructure than their team has capacity to review
- Estates where the Terraform has drifted from what is running
- Teams porting pipelines between CI platforms against a fixed deadline
- Backlogs of repetitive work where a conventional day rate mostly buys time
