Safer Agentic engineering at scale
Claude Code is how developers build. LoomStack is how organizations ship. Autonomous execution, aligned to your people, processes, and policies.
AI makes engineers faster. It makes coordination harder.
Reviews don't scale
AI multiplies engineering output. Review capacity doesn't.
Coordination doesn't scale
Agents move across systems and teams. Alignment doesn't.
Ownership gets blurry
More actors participate in delivery. Accountability doesn't.
Speed doesn't become delivery
Code ships faster. Organizations don't.
The bottleneck has shifted. It's no longer “how do we generate code?”
It's “how do we coordinate AI-driven engineering safely at organizational scale?”
The coordination crisis is real. And it's getting worse.
I got tired of being a project manager for Claude Code. It writes code fine, but shipping production code is seven or eight jobs. I was doing all the coordination myself. The agent typed fast. I was still the bottleneck.
David Sifry · Hacker News
View discussion →AI-generated code needs to be reviewed, which means the natural bottleneck is how fast I can review the results. It's tough keeping up with just a single LLM given how fast it can churn things out.
Simon Willison · The Pragmatic Engineer
Read article →A senior engineer who used to open three PRs a week now supervises a fleet that opens thirty in an afternoon. The team's velocity is no longer set by how fast anyone writes code. It's set by how fast a human can read it.
Tian Pan, ex-Uber · engineering blog
Read article →One orchestration layer. The entire AI-native SDLC.
Orchestration Engine
Routes tasks between agents, humans, and tools
Learn moreContext Layer
Organizational memory: code, architecture, decisions
Learn morePolicy Engine
Risk-based rules for adaptive autonomy
Learn moreObservability Layer
Full traceability from idea to production
Learn moreGovernance
Audit trails, RBAC, and approval chains
Learn moreBuilt to understand your organization, not just your codebase.
Understands Your Product
Most AI tools understand code. LoomStack understands what the code is trying to achieve. By continuously learning your product requirements, architecture, ownership, and historical decisions, agents can make changes that align with user needs and business goals — not just implementation details.
Explore the Context Layer →Centralized identity and access management across all Fieldwork products and services.
Understands Your Organization
Software isn't built by repositories. It's built by teams. LoomStack maintains a shared understanding of ownership, dependencies, workflows, incidents, documentation, and operational knowledge, allowing agents to work with organizational context instead of isolated context windows.
Explore the Context Layer →Learns By Observing
LoomStack learns from what happens after the code ships and from what people say during review. Production signals, reviewer comments, rejected approaches, approval rationale — every human decision makes the next agent action more accurate.
Explore the Observability Layer →Operates Within Your Guardrails
Autonomy without governance doesn't scale. Define approvals, deployment controls, security requirements, compliance policies, and engineering guardrails that determine how agents operate across your organization.
Explore the Policy Engine →Works The Way Your Teams Work
Every company ships software differently. LoomStack understands workflows, approval chains, release processes, and organizational practices, ensuring autonomous work follows the same processes your teams rely on today.
Explore the Orchestration Engine →Cloud agents execute tasks. LoomStack orchestrates the org.
Cursor Cloud Agents are strong at running scoped work in your repos. They don't coordinate context across products and teams, enforce org-wide policy, or route changes by risk before code reaches review. LoomStack owns that layer along with the agents, and so much more.
Task-driven execution: an agent works a scoped prompt, opens a branch or PR, and hands off to whatever review process you already run.
Org-wide SDLC: load product and team context, run agents under policy, route high-risk work to the right reviewers, then ship with a full audit trail.
LoomStack vs Cursor →·Compare LoomStack to the alternatives →
Your org config. Intelligent orchestration. Dynamic human checkpoints.
You define how your organization works — services, ownership, criticality tiers, process preferences. LoomStack uses this config to dynamically orchestrate the right workflow for each change, involving humans at whatever step risk demands.
You Define the Config
You tell LoomStack about your organization: services and their criticality tiers, team ownership, deployment practices, compliance constraints, coding standards, process preferences. This isn't a fixed set of workflows — it's the organizational knowledge LoomStack needs to make intelligent decisions.
Human involvement isn't a fixed step in the pipeline — it's a dynamic decision at any point based on your org config and real-time risk. Most changes ship fully autonomously. The ones that need you, find you.
Whether you're scaling enterprise or building AI-native from day one.
Enterprise engineering
200+ engineers scaling AI-assisted delivery with governance, audit trails, and predictable coordination at organizational scale.
AI-native startup
Small teams shipping at AI speed — building coordination infrastructure before chaos compounds as you grow past 10–50 engineers.
LoomStack is designed to connect to the tools you already use.
LoomStack doesn't replace GitHub, Jira, or your CI/CD system. It coordinates them — sitting as an orchestration layer above your existing stack, routing context and execution across tools.
Bring us your orchestration bottlenecks.
If individual AI tools are failing your org, give us 30 minutes to discuss your setup. No pitch, no demo - you'll leave with actionable ways to align your engineering org, even if we never work together.