fabril is an autonomous engineering runtime that deploys fleets of specialized AI agents to plan, implement, and deliver software, while keeping engineers and product leaders in command at every decision point.

Most AI coding tools sit inside the developer's editor, augmenting a single person's keystrokes. fabril operates at a different layer entirely. It is a persistent, production-grade runtime that orchestrates multiple specialized agents in parallel: proposers, critics, implementers, and verifiers. Each agent runs within defined budgets and write-scope limits. None can merge or ship without explicit human approval.

The pipeline is deliberate by design. A plain-language brief becomes scoped work, distributed across specialized agent lanes. Critic agents pressure-test proposals before they reach a human reviewer. Approval gates sit at two points in the loop, before work begins, and before it ships. Engineers give attention only where it is needed: on the diff that matters, flagged by a system that has already done the review.

fabril's governance layer is built for teams that care about accountability. Real-time fleet visibility, per-agent cost caps, circuit breakers that auto-pause runaway spend, tamper-evident audit trails, and a scorecard tracking ship rate and cost per merged change are all first-class features. A central memory layer called Cortex accumulates project decisions, architecture notes, and lessons learned, briefing every new agent before it runs so no context is lost between tasks.

The platform can be self-hosted without telemetry. Teams bring their own models and MCP-connected tools, connect natively to GitHub, and run entirely within their own infrastructure. fabril has been used to build real production software, including its own internal products, validating the runtime in the conditions it was designed for.

fabril is for engineering teams that want to move faster without giving up the judgment that makes software worth shipping.

Fabril AI

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Fabril AI

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