AI-native software delivery
A delivery process in which AI agents do real work across the whole SDLC, from refined ticket to deployed change, with guardrails that raise quality instead of lowering it.
Results
- Designed an AI software factory in which agents pick up refined tickets, write a spec, implement test-first and open a merge request for human review
- Made codebases agent-ready with clear conventions, decision records and automated quality gates
- Built MCP servers that give AI agents secure access to business systems
- Set up a GitLab pipeline in which Claude Code reviews every new merge request
