S/03 · TIMELINE: 2–6 sprints
AI-Native SDLC Engineering
We install an AI-augmented delivery pipeline inside your engineering org — so every phase, from ticket to deploy, gets an agent.
▸ What you get
- Requirements → user-stories agent (specs from meeting notes)
- AI code-review gates on every PR
- Autonomous test generation & self-healing QA suites
- CI/CD with preview envs & canary deploys
- Release-notes & changelog automation
- Incident copilot wired to your observability stack
- Team enablement: prompts, playbooks, metrics
Ideal for:CTOs & eng leaders, 5–100 devs
▸ Cycle time −57% in 60 days