One coordination layer above all your AI tools and workflows.
Engineering context is scattered across Jira, GitHub, Slack, observability dashboards, and AI chat histories. LoomStack is the coordination plane that connects them — routing context and execution across your entire engineering ecosystem.
Lost to manual context transfer between tools (internal research)
PR review time when agents lack shared context (Faros AI)
Coordination overhead scales quadratically with actors (Brooks)
Main branch CI pass rate, lowest in 5 years (CircleCI 2024)
The problem
Context gets lost at every tool boundary.
A PM writes a ticket in Jira. An engineer discusses it in Slack. An AI agent generates code in Cursor. A reviewer leaves comments on GitHub. Monitoring fires in Datadog. Each tool holds a fragment. No tool holds the whole picture.
The result: engineers spend hours per week manually transferring context between tools. Decisions get made without full information. AI agents hallucinate because they lack organizational context. Reviews take longer because reviewers lack the "why."
This isn't a tooling problem. Your tools are fine. It's a coordination problem — and it gets worse with every new AI tool you adopt.
Before — disconnected
Each tool is an island. Context duplicated, stale, or missing entirely.
After — connected through LoomStack
One layer connects all tools. Context flows automatically.
Context flow
From ticket to production — context flows automatically.
Every step in the engineering lifecycle feeds context forward. No manual hand-offs. No lost decisions. No repeated explanations.
Jira ticket created
Signal Intake · Jira Integration
A ticket is created or updated. LoomStack captures the intent, links it to affected services in your architecture graph, and identifies downstream dependencies.
Workflow composed
Orchestration Engine · < 3s
Based on ticket scope, service criticality, and team configuration, LoomStack composes a workflow DAG — which agents run, what context they need, and where human checkpoints belong.
Agent executes
Spec Agent · Code Agent · Test Agent
Agents execute with full organizational context injected. Architecture constraints, coding standards, ownership boundaries — all available without manual handoff.
PR created
GitHub Integration · Context Layer
Pull request opened with full traceability back to the original ticket, spec decisions, and relevant Slack discussions. Reviewers get context, not just code.
Review routed
Policy Engine · Smart Routing
Review assigned based on ownership, expertise, and current load. Risk level determines review depth. Low-risk changes fast-track. Critical paths get full review.
Deployment
Deploy Agent · Governance Layer
Deployment strategy selected by risk profile. Canary for critical services, direct deploy for low-risk. Rollback plans pre-computed from the dependency graph.
Monitoring + feedback
Observability · Context Layer
Production signals correlated back to the originating change. Outcomes feed into the context graph — informing future risk classification, routing, and workflow composition.
Capabilities
Coordination primitives for the AI-native stack.
Universal Context Graph
A single graph connecting Jira tickets, GitHub PRs, Slack threads, architecture docs, and AI session outputs. Every tool sees the full picture. No more copying context between tabs.
Cross-Tool Traceability
Trace any change from the original ticket through spec, code, review, deploy, and monitoring. Know exactly which context influenced which decision, across every tool boundary.
Smart Notification Routing
Stop drowning in alerts. LoomStack routes the right context to the right person at the right time — based on ownership, expertise, availability, and change risk level.
Dependency Coordination
Detect cross-service conflicts before they reach production. When two teams change the same interface, LoomStack surfaces the collision and coordinates resolution automatically.
Stop coordinating. Start shipping.
Our Co-Build embeds the LoomStack team directly with your org for 12–16 weeks. We connect your tools, build your coordination layer, and prove the model on your infrastructure.