The Orchestration Engine

AI agents that ship code.
You stay in control.

Repo-first orchestration — auditable, non-blocking, Git-native. Coding agents run locally on your checkout with full control.

ias-worker — local
$
The Operational Gap

AI agents are powerful. Managing them is chaos.

Today: 20 min wasted · 0 lines shipped
"What's the auth spec?"
You re-paste the spec (3rd time)
Context window exceeded

With IAS: 47 seconds · 1 commit shipped.
And the entire thread preserved.

IAS Execution

Context loaded from docs/ias/

IAS Execution

Spec read from context pack

IAS Execution

Committed: a3f2b1c

The Workflow

Your repo. Your machine. Zero vendor lock-in.

A production-grade orchestration system built for autonomous coding agents.

Bootstrap

IAS scaffolds a docs/ias/ directory into your repo. Context, world model, and policies are all version-controlled.

Infrastructure

Claim & Run

Workers claim jobs from the queue and execute against your local checkout. Real-time feedback in the CLI.

Infrastructure

Quality Gates

Built-in role passes: PM scoping, UX validation, and security checks. Not just 'did it compile.'

Infrastructure

Git-Native

Every action produces a commit with a real SHA. Full traceability back from intent to final code.

Infrastructure
Intent-Driven Workflow

From an Idea to Shipped Result.

Experience the flow: Choose your intent, let IAS refine it, approve the proposal, and watch it break down into actionable tasks.

intuitive-agent-system
Project: improve-landing-page
What would you like to build or change?
Choose your intent

* Simulated workflow for demonstration purposes

Trust & Performance

Deterministic context. Not RAG roulette.

Every job gets an explicit, reproducible context pack. Idempotent upserts, append-only revisions, and space-scoped ACLs.

Context Lake
  • Pinned items + recent sources = deterministic pack.
  • Idempotent upserts with dedup keys — safe to re-sync.
  • Every job records exactly which items it consumed.
Security Architecture
  • Workers claim jobs locally from a secure queue.
  • Source code never leaves your infrastructure.
  • The cloud receives only orchestration metadata.
The Stack

Three pillars of agentic infra.

Not a chatbot wrapper. A production-grade system for autonomous coding agents.

In-repo governance

IAS Framework

Scaffold context packs, decision policies, and run protocols directly into your codebase.

Git-native.
ias-agent-framework
docs/ias/
context-packs/
architecture.md
glossary.md
policies/
quality-gates.yml
decision-routing.yml
world-model.md
Local worker node

IAS CLI

Production-grade CLI to bootstrap repos, claim jobs, and execute agents locally.

Runs on your machine.
ias-cli
$ ias bootstrap
 Scaffolded docs/ias/ directory
 Loaded context packs (3 files)
 Applied quality gates

$ ias claim --queue=sprint-42
 Claimed: PROJ-142 Auth middleware
 Executing against local checkout...
Full visibility

Command Center

Real-time orchestration hub. Monitor workers, route decisions, and audit every job.

Status only.
ias-workboard
Needs You2
Theme default?
Decision
API schema review
Blocked
Live3
User settings page
Running
Auth middleware
Running
Done5
Profile page refactor
Done
API rate limiting
Done
Core Advantages

Built for agents that actually ship code.

Non-Blocking Decisions

Agents don't stop and wait. They create requests, stub the gap, and keep moving. You answer when you're ready.

01

Multi-Persona Quality

Work runs through built-in role passes — PM scoping, UX validation, and implementation review. Not just 'did it compile.'

02

Durable Re-Entry

Context lives in repo files, not chat history. Any agent can pick up where another left off — understand the state, and continue.

03

See it run on your codebase.

Request a walkthrough and we'll show you IAS running against a real repo — agents claiming jobs, executing, and committing.