Infrastructure as a Harness.
Built by hand
Written and reviewed by humans
Written and applied by agents
Agents Don't Need More Autonomy. They Need Ground Truth, Enforced Boundaries, and Reversibility.
According to the State of IaC 2026 report, only 34% of teams said they would trust an agent to make autonomous production changes. The problem is not the model. An agent with accurate context can make good decisions, but it can't create that context on its own: it can't see a resource that was never codified, it can't tell what's allowed without boundaries that enforce it, and it can't undo a bad change without backup and recovery behind it.
A better model won't close that trust gap. Infrastructure built to harness the agent will.
How Firefly Turns Your Infrastructure Into a Harness
01 — Unified Cloud Context Lake
An Agent Is Only as Good as Its Context
Live, normalized system of record detailing state, ownership, and dependencies across every cloud provider, Kubernetes, and SaaS, and surfacing each gap between code and reality as it appears. Agents act on full context rather than raw telemetry.
02 — Control Path Guardrails
An Agent Can't Argue With Enforced Policy
Governance enforced directly at the cloud and CI/CD layers, ensuring enterprise control even if an agent bypasses prompt limits. Every action runs inside boundaries you define, with human-in-the-loop approval.
03 — Resilience & Reversibility
Nothing an Agent Does Is Irreversible
Deterministic, machine-speed recovery back to codified baselines. Every resource held as deployment-ready Infrastructure-as-Code, so you can roll back a bad change or rebuild everything, networking and identity included, into a clean region within your RTO.
Agent-Native Cloud Operations
Firefly's own agents are harnessed the same way yours would be. Aware of every resource, dependency, and policy, they turn static automation into cloud operations that are dynamic, self-governing, and recovery-ready.
Agentic Contextual Codification
Turns ungoverned resources into standardized IaC, written in your team's existing module patterns, with dependencies and import blocks included.
Agentic Drift Remediation
Drift and policy violations detected and remediated automatically, with every fix delivered as a pull request your team reviews and merges.
Agentic Automations
Workflows that carry a change from plan to apply, with guardrail checks, cost estimation, and policy evaluation run at every step.
Backup & Disaster Recovery
Snapshots maintained continuously, rebuilds run automatically after an outage or attack, and services restored in order of business criticality.
Firefly Extends the Same Rules to Any Agent You Bring
Firefly exposes its context and its controls through MCP and governed APIs, so an agent working in Claude, Cursor, or your own stack is harnessed exactly as Thinkerbell AI is.
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