Developer infrastructure for autonomous agents

Developer infrastructure for autonomous agents

Cloud infrastructure for AI software engineers

Cloud infrastructure for AI software engineers

Connect a GitHub repository, deploy parallel development agents, and let each one work safely inside an isolated cloud sandbox with codebase context, tests, pull requests, and collaboration built in.

continuity://repos/atlas-commerce/agents

9 agents active

GitHub connected

atlas-commerce

A monorepo with web, API, billing, and mobile packages. Agents receive scoped workspaces with repository-aware context.

packages/web · 184 files

services/api · test suite passing

infra/sandbox · isolated runtime

Agent swarm

Agent 04 · Checkout refactor

Running Playwright + opening PR

Agent 07 · Billing tests

Patch created · 3 reviewers pinged

Agent 11 · Mobile crash

Reproduced in sandbox · fixing

Merged workstream

#482 Improve checkout recovery flow

12 files changed · 47 tests passing

✓ Unit tests · 1m 24s

✓ E2E suite · 6m 12s

↗ Ready for review

BUILT FOR HIGH-VELOCITY ENGINEERING TEAMS

BUILT FOR HIGH-VELOCITY ENGINEERING TEAMS

500ms

sandbox spin-up target

Parallel

multi-agent execution

Isolated

ephemeral workspaces

PR-native

human review workflow

One control plane for agentic development

ContinuityAI turns a repository into a secure fleet of cloud workspaces where agents can reason, modify code, run tests, and coordinate through pull requests.

$ continuity deploy --repo github.com/atlas/commerce

$ continuity deploy --repo github.com/atlas/commerce

✓ Indexed 2.4M tokens of codebase context

✓ Indexed 2.4M tokens of codebase context

✓ Created 9 isolated Linux sandboxes

✓ Created 9 isolated Linux sandboxes

→ Assigning issues by dependency graph

→ Assigning issues by dependency graph

→ Streaming test results into pull requests

→ Streaming test results into pull requests

Connect repo

Parallel sandboxes

Review PRs

Codebase-aware planning

Agents receive scoped repository context, dependency maps, and coding standards before touching files.

Tests before pull requests

Every workspace can run unit, integration, and browser tests before opening a reviewable branch.

Human review remains central

Agents collaborate through normal engineering primitives: branches, checks, comments, and pull requests.

Everything agents need to ship real software

Purpose-built infrastructure for autonomous development, not another chat box bolted onto your repo.

Ephemeral cloud sandboxes

Each agent works in a clean, isolated environment with dependencies, secrets policy, and network controls scoped to the task.

Repository-native context

Agents understand code ownership, dependency graphs, tests, conventions, and the review history that matters.

Tests as a first-class runtime

Run test suites, browsers, migrations, linters, and custom verification steps before code ever reaches review.

Pull-request collaboration

Agents explain their changes, respond to comments, and coordinate with other agents through familiar Git workflows.

Observable agent work

Observable agent work

Inspect prompts, commands, diffs, test output, branch state, and decisions in a complete execution timeline.

Policy and permissions

Control what agents can access, where they can run, which branches they can open, and when humans must approve.

Control what agents can access, where they can run, which branches they can open, and when humans must approve.

Enterprise-grade from the first sandbox

Built for teams that need speed without giving up governance, auditability, or deployment control.

Audit trails for every decision

Track prompts, file reads, shell commands, generated diffs, tests, and review conversations from one immutable timeline.

Private deployment options

Run in Continuity Cloud, VPC-connected environments, or dedicated regions with tight network and repository controls.

Security controls that match engineering reality

Role-based access, scoped secrets, policy gates, branch protection, and approval workflows are built into the orchestration layer.

SOC 2 ready

RBAC

Full audit log

Give every engineering team an agent fleet

Give every engineering team an agent fleet

ContinuityAI is the orchestration layer for AI software engineers: fast enough for daily development, controlled enough for enterprise production.

ContinuityAI is the orchestration layer for AI software engineers: fast enough for daily development, controlled enough for enterprise production.

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