The Future of AI-Native Software Delivery

Infrastructure import, now agent-led

With read-only cloud access, the agent reverse-engineers your infrastructure as code, provisions a managed environment and iterates until it matches production with zero drift.

Impact: Onboarding without re-platforming

Preview environments, now triggered from CI

A GitHub Actions step creates a per-branch ephemeral environment on any CI event.

Impact: Faster developer feedback loops

Custom skills, scaled into a marketplace

An internal marketplace with governance, where teams publish, version and roll out skills and workflows across the organization.

Impact: Reusable automation at scale

Agent usage & quality analytics

See adoption, task success rates and where the agent adds value, with feedback from every skill run going back into improving it.

Impact: Measurable return on AI

Agent memory, made long-term

The agent creates structured SQL stores for operational data and builds long-term memory of your environment.

Impact: Faster, more accurate answers

Knowledge graph, extended to the full stack

The knowledge graph grows from application repositories and cloud infrastructure to every layer of your estate, so the agent can explain any system, onboard engineers and debug across layers.

Impact: Faster debugging and knowledge transfer

Agent context, enriched with runbooks

Runbooks, documentation and post-mortems become part of the agent's context, so its recommendations follow your team's operating procedures.

Impact: Consistent, procedure-aligned responses

AI review of infrastructure PRs

The agent reviews IaC changes in the pull request and flags risk and blast radius before merge.

Impact: Change risk caught earlier

Auto-generated observability dashboards

The agent discovers your infrastructure components, pulls the relevant telemetry and builds a complete dashboard: health, per-service Kubernetes latency and alerts.

Impact: Full observability from day one

Agent CLI for AI coding assistants

Run infrastructure operations, debugging and queries from Claude Code, Cursor or Gemini CLI.

Infrastructure knowledge graph

A real-time map of services, dependencies and configuration, for blast-radius analysis before every change.

Scheduled & event-driven agents

Agents triggered on a cron schedule, by Slack events or by webhooks.

Autonomous incident response

Alerts trigger root-cause analysis and a proposed fix. A dedicated agent tunes noisy alert rules and checks them against the live cluster.

Integration ecosystem

Cloud, Kubernetes, GitHub, GitLab, Bitbucket, Slack and New Relic give agents both context and the ability to act.

Custom agents & skills

Teams package their own agents and playbooks and distribute them across the organization.