> ## Documentation Index > Fetch the complete documentation index at: https://docs.fabro.sh/llms.txt > Use this file to discover all available pages before exploring further. # Comparison > How Fabro compares to AI coding agents, software factories, and orchestration platforms. Fabro is a [dark software factory](/getting-started/dark-factory). It is not an IDE plugin. It is not a REPL, command line or otherwise. It is not a web application where you drag-and-drop workflows or update technical documents (we have Git for those). Almost every other tool in AI coding starts from the same place: a developer at a keyboard, typing prompts, reviewing responses and outputs. Fabro starts from a different premise — that the highest-leverage work for expert engineers is defining **what** gets built and **how quality is verified**, not supervising each line of code as it's written. This means Fabro intentionally does not include: * **An IDE integration** — no VS Code extension, no editor plugins * **A REPL CLI** — no interactive prompt-response loop * **Autocomplete** — no inline code suggestions Instead, Fabro provides workflow graphs, verification gates, multi-model orchestration, and observability — the infrastructure a small team needs to run coding agents with minimal human interaction. ## Notable Comparisons ### Automated Coding Workflows These are the closest alternatives to Fabro — platforms that structure and automate multi-step coding processes rather than offering a single interactive agent session. They are proprietary products which offer a more "light" software factory approach where humans are still watching and driving. * **Factory AI (Droids)** — Enterprise coding automation platform * **Ona (Gitpod)** — Agentic coding platform with cloud dev environments * **Devin** — Autonomous coding agent by Cognition ### AI Coding REPLs AI coding REPLs like Claude Code, Codex CLI, and Cursor are interactive, prompt-driven agents designed for single-session tasks. They are powerful pair-programming tools but operate at a different level than Fabro — they lack declarative workflow definition, multi-stage orchestration, and Git-native checkpointing. REPLs and Fabro pair nicely. REPLs are ideal for exploring ideas interactively — prototyping an approach, testing assumptions, and iterating in real time. When you're ready to move from exploration to implementation, you can hand the work off to a Fabro workflow for the build out. ## Other Comparisons **8090 Software Factory** 8090.ai is an AI SDLC orchestration platform that structures upstream context — requirements, architecture, and planning — then delegates implementation to external coding agents via MCP. Because 8090 stops before code generation and does not perform coding activities itself, it operates in a different stage than Fabro and is not compared in the sections below. **OpenAI Symphony** [Symphony](https://github.com/openai/symphony) is a new multi-agent orchestration framework from OpenAI that dispatches Codex sessions from a Linear issue board. It is currently an engineering preview with a narrow, fixed workflow (poll → dispatch → resolve → land). Because it is early-stage and with a limited implementation, it is not compared in the sections below. ## Comparison Dimensions We strive to keep this information accurate, but the landscape changes rapidly. If you spot an inaccuracy, please [let us know](mailto:hello@fabro.sh). ### Licensing Open source vs. proprietary — trust, auditability, extensibility. | Tool | License | | ------------------- | --------------------------------------------- | | **Fabro** | Open source, MIT license. Fork and customize. | | **Factory AI** | Proprietary, closed source | | **Devin** | Proprietary, closed source | | **Ona** | Proprietary, closed source | | **AI Coding REPLs** | Proprietary except Codex CLI (Apache 2.0) | ### Workflow Definition How coding tasks are structured, repeated, and version-controlled. | Tool | Approach | | ------------------- | ---------------------------------------------------------------------------------------------------------- | | **Fabro** | Declarative, deterministic workflow graphs with loops, branching, and gates. Version controlled. | | **Factory AI** | Non-deterministic Markdown skills (custom Droids) and black box Missions stored in a proprietary database. | | **Devin** | One-off chat tasks or non-deterministic Markdown skills stored in a proprietary database. | | **Ona** | One-off chat tasks or proprietary, web-based workflow builder. | | **AI Coding REPLs** | Not applicable. Imperative prompts with Markdown skills. | ### Model Access Access to models of various intelligence and costs across providers with per-step control. | Tool | Models | | ------------------- | -------------------------------------------- | | **Fabro** | Multi-provider with ensembles. | | **Factory AI** | Multi-provider with ensembles for Missions. | | **Devin** | Proprietary, black box selection. | | **Ona** | Multi-provider. One user selection per task. | | **AI Coding REPLs** | Locked to REPL provider's ecosystem. | ### Human-in-the-Loop How and where humans intervene in the workflow. | Tool | Approach | | ------------------- | ------------------------------------------------------------------------------------- | | **Fabro** | Deterministically defined human gates in the workflow, plus ad-hoc injected steering. | | **Factory AI** | Plan before implementation, then review pull requests. | | **Devin** | IDE-based mid-task chat intervention plus pull request review. | | **Ona** | Humans review at the pull request boundary. | | **AI Coding REPLs** | REPL prompts plus permission prompt modes. | ### Multi-Agent Orchestration How multiple agents coordinate on complex work. | Tool | Coordination | | ------------------- | ---------------------------------------------------------------------------------------------------------------------- | | **Fabro** | Explicit graph of stages that fan out and converge. Deterministic composition of agents, prompts, commands, and gates. | | **Factory AI** | Hierarchical subagents delegated from a parent Droid. Non-deterministic Missions for parallel feature workers. | | **Devin** | Opaque internal compound system. Multiple instances run in parallel but users cannot define the orchestration. | | **Ona** | Fleet of independent agents in isolated VMs. Horizontal scale but no agent-to-agent communication. | | **AI Coding REPLs** | Limited. Session-scoped sub-agents or parallel background agents with no shared workflow definition. | ### Execution Environment Where code runs and who controls the sandbox. | Tool | Environment | | ------------------- | ------------------------------------------------------------------------------------------------- | | **Fabro** | Local or BYO provider (Daytona, Sprites, exe.dev) and SSH support. | | **Factory AI** | Local plus cloud VM configured with cloud templates. Enterprise supports air-gapped environments. | | **Devin** | Proprietary cloud VM managed by Devin ("Devbox") or self hosted. | | **Ona** | Proprietary cloud VMs managed by Ona (Gitpods) or self-hosted. | | **AI Coding REPLs** | Local and proprietary cloud modes. | ### Cloud Sandbox Access Human access to the running sandbox via preview URLs, SSH, and VNC. | Tool | Access | | ------------------- | --------------------------------------------------------------------------------------- | | **Fabro** | Live preview URLs, SSH, and VNC when using a supported sandbox provider (e.g. Daytona). | | **Factory AI** | SSH access to cloud environments. No preview URLs or VNC. | | **Devin** | Browser-based shell and VS Code in the Devbox. No direct SSH or VNC. | | **Ona** | SSH access to cloud environments. No preview URLs or VNC. | | **AI Coding REPLs** | None. | ### Git Checkpointing How state is managed during execution. | Tool | Git behavior | | ------------------- | ------------------------------------------------------------------------------------------------- | | **Fabro** | Commits after every stage with provenance captured. Inspect, revert, or fork from any checkpoint. | | **Factory AI** | Standard git operations. No per-step checkpointing. | | **Devin** | Opens pull requests. No per-step git checkpointing. | | **Ona** | Disposable VMs with pull request output. No per-step checkpointing. | | **AI Coding REPLs** | None. | ### Quality Verification How the system verifies that generated code meets requirements. | Tool | Verification | | ------------------- | ---------------------------------------------------------------------------------------------------------------------------- | | **Fabro** | First class quality verification system (criteria, controls, evals) combining agent reviews, CI checks, and human approvals. | | **Factory AI** | Sub-agent code reviews. PR-based human review. | | **Devin** | Sub-agent code reviews. PR-based human review. | | **Ona** | Human review at PR boundary. | | **AI Coding REPLs** | Manual. User reviews output in the REPL or at the PR boundary. | ### Observability Can you trace what happened step-by-step? Audit and debug agent behavior. | Tool | Visibility | | ------------------- | ------------------------------------------------------------------------------------ | | **Fabro** | Full trace of every model call, tool invocation, and decision. Cross-run comparison. | | **Factory AI** | OpenTelemetry-native with dual-export and structured metrics. | | **Devin** | Session replay with timeline and milestones. Enterprise audit logging. | | **Ona** | Enterprise audit logging with real-time event streaming. | | **AI Coding REPLs** | Varies. Limited to session-level transcripts or enterprise audit logs. | ### Deployment Model SaaS dependency vs. self-hosted control. | Tool | Deployment | | ------------------- | ------------------------------------------------------------ | | **Fabro** | Self-hosted Rust single binary with no runtime dependencies. | | **Factory AI** | SaaS with enterprise hybrid and air-gapped options. | | **Devin** | SaaS only. Enterprise can host execution in customer VPC. | | **Ona** | SaaS with enterprise self-hosted VPC option. | | **AI Coding REPLs** | Local CLI tools with optional proprietary cloud modes. |