Agent-First DevOps Platform Foundation

Agent-First Architecture, Network Topology, and EU-Centric Hosting

The core deliverable is an agent network topology built on a supervisor agent pattern, designed to operate across your DevOps toolchain: CI/CD pipelines, GitOps workflows, infrastructure provisioning, and incident response. Agents are composed into networks with defined handoffs, where each agent has a bounded responsibility and a clear protocol for escalating to another agent or to a human. Every live operation runs under hard human oversight, and no agent executes a consequential action in production without explicit approval.

AgentOps instrumentation is built into the architecture from the start. Every agent interaction, decision path, and tool invocation is traced and metered from the moment the network is deployed. Fry Express defaults to EU-first cloud providers for inference endpoints, vector stores, RAG indexes, and audit logs. No data leaves the jurisdiction unless explicitly required. Hyperscalers are brought in only where specific capabilities demand it, and the platform is designed for portability: Kubernetes, Terraform, and open interfaces ensure that moving between providers is an operational decision, not a rebuild.

IaC Modules and Agent Networks That Build Your Platform

We deliver Infrastructure as Code modules for core resources: compute, networking, storage, identity, and policy. These modules follow the same conventions, quality gates, and versioning strategy across every environment.

For experienced teams, we deliver AI agent networks that write, test, and evolve those IaC modules. Agents are the primary authors; humans supervise and approve every merge. The agent networks operate through the same pull request and approval process the team already uses — they are not a separate workflow. Every agent-authored change passes through the same security scans, policy checks, and CI/CD pipeline gates as human-authored code.

Self-Documenting Infrastructure Through Context Engineering and RAG

Infrastructure documentation, runbooks, and operational knowledge are generated and maintained automatically through context engineering and RAG pipelines. As the platform changes, its documentation changes with it. There are no stale wikis and no knowledge that lives only in one person's head.

The RAG layer indexes infrastructure state, deployment history, incident records, and configuration changes into a queryable knowledge base. On-call engineers and platform teams get answers grounded in the actual state of the system, feeding directly into deployment readiness checks, incident postmortems, and change management.

Intent Engineering and Agent Governance

Intent engineering defines what each agent should achieve within DevOps operations — deployments, scaling decisions, incident response, cost optimisation — then decomposes that into tool calls, validation criteria, and success metrics. Each agent's intent is structured, tested, and versioned. Intent test suites run in CI, and a failing intent test blocks deployment the same way a failing infrastructure test does.

The agent governance framework covers ownership, promotion, and incident response. An ownership registry records which team owns which agent. Capability versioning promotes agents through dev, stage, and production the same way IaC is promoted. Adding a new tool to an agent requires review. Incident classification includes agent-specific failure categories so on-call teams know how to respond.

Observable, Safe, Cost-Metered Agent Operations

Full AgentOps observability covers distributed traces across every agent interaction, decision logs that capture reasoning chains, and token metering per agent and per workflow. Regression gates in CI block deployment when agent quality drops below defined thresholds. A quality dashboard integrates with your existing DevOps observability stack (OpenTelemetry, Grafana) and tracks accuracy, latency, and cost per agent, making degradation visible before it reaches production.

Budget caps with graceful degradation prevent runaway costs. When a threshold is approached, agents reduce scope, switch to cheaper models, or terminate cleanly with a partial result. Human approval gates govern what agents can execute in production. Agent operations runbooks document procedures for failure modes specific to agent networks: loops, budget exhaustion, provider rate limits, and supervisor deadlocks. Runbooks are linked from alerts so on-call engineers land on actionable guidance, not a blank page.

Team Enablement and Handover

Fry Express delivers hands-on enablement sessions for platform engineers, SREs, and DevOps teams, covering intent engineering, agent supervision workflows, and how to extend the agent network. These are pairing sessions on the team's real platform, not slide decks.

Handover includes a prioritised backlog of next-step agent use cases the team can pursue independently, each scoped and estimated. The platform ships agent-native: governed, observable, self-documenting, and production-ready from the first deploy.