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5 min read·Updated July 2, 2026

Firefly

Firefly logoBy Firefly

Firefly is a cloud asset-management and infrastructure-as-code platform whose agentic AI auto-generates production-ready Terraform and OpenTofu from live cloud environments, continuously detects drift and misconfiguration, and serves as a real-time system of record for cloud infrastructure.

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Learning Objectives

  • Describe what Firefly does and why managing cloud infrastructure as code is hard
  • Explain how Firefly's agentic AI turns live cloud environments into infrastructure code
  • Identify why auto-codification is framed as semi-autonomous rather than fully hands-off

What Is Firefly?

Firefly is a cloud asset-management and infrastructure-as-code platform. It gives cloud and platform teams a real-time system of record for everything running in their cloud environments — the resources, how they are configured, and how they change over time. Founded in 2021 and based in Tel Aviv, Firefly focuses on a persistent problem: cloud estates grow sprawling and drift away from the code that was supposed to define them, leaving teams unsure of what they actually have and whether it is configured safely.

Its signature capability is using AI to generate infrastructure code directly from a running cloud environment, so the live reality and the code that describes it can be brought back into alignment.

💡Key Concept

Infrastructure as Code (IaC): The practice of defining cloud resources — servers, networks, databases, and more — in machine-readable configuration files rather than clicking through a console by hand. Tools such as Terraform and OpenTofu let teams version, review, and reliably reproduce their infrastructure, so environments are consistent and changes are auditable.

What Firefly Does

  • Cloud asset inventory — a real-time system of record for all cloud resources and their configuration
  • Auto-generated code — produces production-ready Terraform and OpenTofu from live environments
  • Drift detection — continuously flags where the running environment has diverged from its code
  • Misconfiguration detection — surfaces configurations that are unsafe or out of policy
  • Remediation support — helps teams bring drifted or misconfigured resources back into a known-good state

How AI Is Applied

Firefly's agentic AI inspects a live cloud environment and generates the infrastructure code that would recreate it — production-ready Terraform and OpenTofu — a process often called codification. This is genuinely hard: the AI must understand the relationships and dependencies among cloud resources and emit correct, usable code, not just a rough sketch. Done well, it lets teams take unmanaged, manually created infrastructure and bring it under version control.

Beyond codification, the AI continuously watches for drift — where the running environment no longer matches its code — and for misconfiguration, then helps teams remediate. Because it stays synchronized with the live environment, Firefly can act as a real-time system of record rather than a snapshot that goes stale.

Firefly is honest about the limits of full autonomy here. The company's own research notes that only a minority of teams currently trust fully autonomous changes in production. Accordingly, Firefly is best understood as semi-autonomous: the AI does the heavy lifting of generating code and detecting problems, while humans review and approve the changes that actually touch production infrastructure.

Who Uses Firefly

Firefly is used by cloud, platform engineering, and infrastructure teams responsible for keeping large cloud estates organized, compliant, and under code control. It is especially useful for organizations that have accumulated infrastructure created by hand over time and need to bring it into an infrastructure-as-code workflow.

Pricing

Firefly is enterprise software with quote-based pricing. Cost generally depends on the size of the cloud footprint under management and the capabilities enabled. Organizations contact Firefly directly for a tailored quote.

Company Details

DetailInfo
CompanyFirefly
Founded2021
HeadquartersTel Aviv, Israel
CategoryCloud asset management and infrastructure as code
AI CapabilityAgentic auto-codification of Terraform and OpenTofu from live environments
OwnershipPrivate
Websitefirefly.ai

Strengths

  • Real-time system of record — stays synchronized with the live cloud environment rather than going stale
  • Auto-codification — generates production-ready Terraform and OpenTofu from what is actually running
  • Drift and misconfiguration detection — continuously flags divergence and unsafe configuration
  • Brings order to sprawl — helps teams put unmanaged, hand-created infrastructure under code control
  • Honest about autonomy — positions codification as semi-autonomous with human review of production changes

Limitations and Considerations

  • Not fully autonomous — most teams still review and approve changes before they hit production
  • Codification is hard — generated code may need engineering review to be truly production-ready in complex cases
  • Cloud-focused scope — centered on cloud infrastructure rather than general software delivery
  • Requires access — the platform needs read access to cloud environments to inventory and codify them

Key Takeaways

  • Firefly is a cloud asset-management and infrastructure-as-code platform that acts as a real-time system of record for cloud infrastructure
  • Its agentic AI auto-generates production-ready Terraform and OpenTofu from live environments and continuously detects drift and misconfiguration
  • Auto-codification is a genuinely hard AI problem, and Firefly frames it as semi-autonomous — most teams still review changes to production
  • Best for cloud and platform teams that need to bring sprawling, hand-created infrastructure under code control and keep it that way

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