Private preview · A Momentum AI product

ARES: The AI-Native IDE for Autonomous Engineering.

Go beyond autocomplete with verification-first AI workflows designed for real-world software systems. Active when you are. Autonomous when you're not.

See ARES in action
Large codebase support Verification-first Autonomous workflows Long-running tasks Enterprise-ready
ares · oauth-migration · main
Autonomous mode
oauth-provider.ts × session.ts × auth.middleware.ts × migration.plan.md ×
services/auth/oauth-provider.ts AI refactor proposed 
// services/auth/oauth-provider.ts
import { Request } from "express";
-import { LegacySession } from "../legacy/session";
+import { OAuthSession } from "@momentum/auth-oauth";
import { unauthorized } from "./responses";
/** Resolves the caller's identity for the request. */
export async function authenticate(req: Request) {
-  const session = await LegacySession.from(req.cookies);
+  const session = await OAuthSession.fromRequest(req);
  if (!session) return unauthorized();
+  await session.refreshIfExpired();
  return session.user;
}
▸ TERMINAL PROBLEMS OUTPUT EXECUTION LOG ares-shell · zsh
BACKGROUND TASKS 4 active
refactor::services/auth02:14
tests::generate.session00:38
verify::int.suite—
pr::draft.release-notesqueued
connected · ares-runtime 2 workflows running main · 14 modified TS strict
UTF-8 LF Ln 9, Col 22

Simulated UI · representative of the ARES experience.

Core capabilities

Built to support real engineering work.

ARES isn't a wrapper around a chat model. It is a coordinated environment for understanding, planning, executing, and verifying changes across real codebases.

Workflow example

Implement OAuth migration across services.

A representative long-running task ARES can carry through in Autonomous mode — pausing for human approval, resuming on real-world events, and verifying at every step.

Positioning

ARES is not an AI coding assistant.

It's an autonomous engineering environment — built to operate across the full lifecycle, not within a single chat session.

Dimension
Traditional AI coding assistants
ARES
Continuity
Single-session
Persistent workflows
Reasoning
Prompt-centric
Execution-backed reasoning
Context
Shallow context
Repository intelligence
Quality model
Weak verification
Verification-first
Engagement
Reactive assistance
Lifecycle-aware automation

Architecture

Two modes. One engineering surface.

ARES is designed to operate as a real-time collaborator and as an autonomous worker — backed by the same context, verification, and orchestration substrate.

Active mode

Developer-in-the-loop

You drive. ARES proposes, explains, and verifies. Inline diffs, instant context retrieval, repo-wide refactors — every change grounded in the current state of your code, not a snapshot.

  • Repo-aware completions and refactors
  • Verification before commit
  • Transparent reasoning trace
Autonomous mode

Long-running engineering tasks

Hand ARES a goal. It plans, executes, and verifies in the background — pausing for human approval at the checkpoints your team defines, resuming on real-world events.

  • Background task queue with policy gates
  • Pauses on events: PR merge, CI pass, approvals
  • Auditable execution log per workflow

Context retrieval

Dynamic context packs grounded in your current repo state — not a stale embedding.

Workflow orchestration

Multi-step tasks composed of reusable capabilities — coordinated by Hive.

Verification loops

Tests, type checks, evaluators, and policy checks gate every step.

Hive & Garlic

Workflow runtime via Hive. Repo-specialized agents via Garlic. ARES brings them to your IDE.

Enterprise positioning

ARES is designed for real engineering environments — not toy repositories.

Monorepos

Handles millions of lines of code without truncation. Designed for codebases where context-window-based tools break.

Distributed systems

Reasons across services, contracts, and infrastructure — not just the file you have open.

CI/CD integration

Hooks into your existing pipelines — workflows pause on CI, resume on green.

Human approvals

Explicit checkpoints at the gates your org already trusts — review, merge, deploy.

Policy enforcement

Coding standards, license rules, and security policies enforced as workflow gates.

Auditability

Every decision, tool call, and reasoning step is logged — reviewable by humans and compliance tools.

Private preview

Bring autonomous engineering to your team.

ARES is in private preview with a small group of design partners running real production workloads. Request a demo, or come see it at the Momentum AI booth.