Coordinate AI-driven engineering safely at scale.
Most changes will ship autonomously. The ones that need you, find you. LoomStack is the risk-calibrated orchestration layer for AI-native engineering.
AI makes engineers faster. It makes coordination harder.
- AI-assisted coding is the new default
- Individual engineers ship 3–5x more code
- AI agents handle spec, code, tests, deployment
- Execution velocity has never been higher
- Context is scattered across 7+ disconnected systems
- No one knows what the agents changed, or why
- Review queues are unmanageable at AI-generated volume
- Workflows built for humans break under AI execution speed
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?”
One orchestration layer. The entire AI-native SDLC.
Orchestration Engine
Routes tasks between agents, humans, and tools
Context Layer
Organizational memory: code, architecture, decisions
Policy Engine
Risk-based rules for adaptive autonomy
Observability Layer
Full traceability from idea to production
Governance
Audit trails, RBAC, and approval chains
Platform Capabilities
AI coordinates the workflow. Humans intervene only when it matters.
The Orchestration Engine dynamically plans and executes engineering workflows. Most work is designed to ship autonomously — the engine routes tasks to agents, validates output, and deploys. Humans are pulled in only when risk justifies it, and in the right way: async notification, soft review, or active checkpoint.
Explore the Orchestration Engine →AI systems that understand your organization, not just your codebase.
Most AI tools operate statelessly — they know nothing about your architecture, past incidents, ownership boundaries, or deployment history. The Context Layer builds and maintains a persistent organizational memory graph that every agent in LoomStack operates from.
Explore the Context Layer →The right level of oversight, automatically.
Not every change carries the same risk. The Policy Engine classifies every workflow by risk level and applies the right response: autonomous execution, async notification, soft review, or active checkpoint. You define the thresholds. LoomStack enforces them at every step, for every agent.
Explore the Policy Engine →From feature request to governed production deployment.
See how LoomStack orchestrates an AI-native engineering workflow — executing autonomously by default, involving humans only when risk justifies it.
Signal Received
Feature request arrives from Jira. LoomStack parses intent and context, building an initial understanding of the work to be done.
The right controls for every role in your organization.
Govern AI-driven engineering without slowing it down.
AI is moving faster than governance. LoomStack gives you visibility, policy enforcement, and audit trails — without blocking execution.
Predictable delivery, even at AI execution speed.
Review bottlenecks, workflow inconsistency, and delivery unpredictability compound as AI adoption grows. LoomStack brings order to the pipeline.
One policy layer across all AI agents and tools.
Governance, deployment safety, and observability across a fragmented AI ecosystem. LoomStack is the control plane above your stack.
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 · HackerNews
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
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
Shape the future of AI-native engineering orchestration.
LoomStack is accepting a limited number of design partners — engineering organizations who want to define what governed, AI-native development looks like. Partners get early access, direct product influence, and dedicated support. No long-term commitment required.
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.
The operating layer for AI-native engineering is being built now.
Join the engineering organizations shaping what AI-coordinated development looks like.