Show HN: LoomStack – Helping engineering orgs scale AI-driven development

THE ORCHESTRATION LAYER FOR AI-NATIVE ENGINEERING

Agentic engineering at scale

Claude Code is how developers build. LoomStack is how organizations ship. Autonomous execution, aligned to your people, processes, and policies.

Let's build yoursExplore the platform

loomstack

3 active · 1 done today

Workflows

auto·review·done

Bug fixPayment retry logicLS-1043

tests

FeatureAuth SSO callbackLS-1042

code

FeatureAPI rate limit confighigh blast radius

awaiting review

Depsreact 19 upgradeLS-1041

✓Merged

THE COORDINATION PROBLEM

AI makes engineers faster. It makes coordination harder.

Signal 01

Reviews don't scale

AI multiplies engineering output. Review capacity doesn't.

Signal 02

Coordination doesn't scale

Agents move across systems and teams. Alignment doesn't.

Signal 03

Ownership gets blurry

More actors participate in delivery. Accountability doesn't.

Signal 04

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?”

WHAT ENGINEERING TEAMS ARE EXPERIENCING

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.”

David Sifry

Hacker News →

“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 →

“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 →

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PLATFORM OVERVIEW

One orchestration layer. The entire AI-native SDLC.

Input Signals

JiraLinearGitHubSlackMonitoring

LoomStack

Orchestration EngineContext LayerPolicy EngineObservabilityGovernance

Execution Targets

AI AgentsCI/CDDeploy TargetsHumans

Orchestration EngineExplore →Context LayerExplore →Policy EngineExplore →ObservabilityExplore →GovernanceExplore →

CORE CAPABILITIES

Built 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 →

Product Knowledge3 products

Product goal

Centralized identity and access management across all Fieldwork products and services.

Success metrics

99.98%

Uptime (30d)

38ms

Auth latency p99

84k

Active sessions

Context Graphlive

serviceauth-servicecritical · payments-team

teamPayments Team8 members · lead: S. Chen

decisionADR-031: No JWT in PII2024-11 · enforced

incidentINC-204: Token rotationP1 · resolved

standardAll secrets via Vaultapplies to 9 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 →

Learning Signalslive

Production

deploy healthycanary passed

error rate +0.4%correlated to change

Human feedback

S. Chen · approved spec"keep auth out of gateway"

D. Okafor · requested changes"breaks the mobile client"

Policy Engine4 active rules

ifspec.risk == lowautonomous

ifservice.tier == criticalblock-require-approval

iffile matches /pii/require security

ifchange.risk == lowautonomous

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 →

Process ConfigurationFieldwork Eng

Signal intakesystem

Spec generationagent

Spec reviewhuman

Code + testsparallelagent

Security scanagent

Deployagent

WHY NOT CURSOR CLOUD AGENTS ALONE?

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.

Cursor Cloud Agents

task→agent run→PR→review

Task-driven execution: an agent works a scoped prompt, opens a branch or PR, and hands off to whatever review process you already run.

LoomStack Orchestration

signal→context→agents→risk gates→ship

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 →|All comparisons →

HOW IT WORKS

Your org config. Intelligent orchestration. Dynamic human checkpoints.

You define how your organization works. LoomStack dynamically orchestrates the right workflow for each change, involving humans at whatever step risk demands.

STEP 011/6

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.

Org Config

Human involvement isn't a fixed step — 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.

CHOOSE YOUR PATH

Whether you're scaling enterprise or building AI-native from day one.

01

Enterprise engineering

200+ engineers scaling AI-assisted delivery with governance, audit trails, and predictable coordination at organizational scale.

Enterprise AI development →CTO perspective →

02

AI-native startup

Small teams shipping at AI speed — building coordination infrastructure before chaos compounds as you grow past 10–50 engineers.

Startup founders →Engineering coordination →

03

Hands-on implementation

Not ready to adopt a platform on your own? We embed with your team for 12–16 weeks and build AI-native SDLC infrastructure on your stack. You own everything.

Co-Build Program →

INTEGRATIONS

Connects 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.

Source Control

GitHubGitLabBitbucketAzure DevOps

CI/CD

GitHub ActionsGitLab CICircleCIJenkins

Issue Tracking

JiraLinearGitHub IssuesAsana

AI Coding

CursorClaude CodeGitHub CopilotDevin

Monitoring

DatadogGrafanaSentryPagerDuty

Cloud

AWSGCPAzureVercel

Testing

JestVitestPlaywrightCypress

View integration roadmap →

GET STARTED

Bring us your orchestration bottlenecks.

If individual AI tools are failing your org, give us 30 minutes. No pitch, no demo. You'll leave with actionable ways to align your engineering org, even if we never work together.

Talk to the teamCo-Build Program →