Cloud infrastructure for AI software engineers
Deploy autonomous cloud development agents that understand your codebase, collaborate together, and deliver production-ready pull requests.
Trusted runtime primitives:
GitHub
Docker
AWS
OpenTelemetry
continuityai / agent-runtime
Agent Queue
parallel run 04:18
Auth
writing tests
Billing
refactoring
API
tests passing
UI
generating
QA
reviewing
Code generation
Tests
Review
Pull request
✓ semantic index hydrated in 1.8s
agent.auth wrote 14 tests across 3 files
agent.api resolved migration conflict
pull request ready: continuityai/parallel-run-184
Built for teams already shipping with
10×
faster feature delivery when agents work concurrently instead of serially.
1,000+
repositories indexed into secure, agent-ready development environments.
Millions
of lines of code analyzed with traceable decisions and reviewable outputs.
Platform
Infrastructure primitives for parallel agentic development.
ContinuityAI gives every autonomous engineer the sandbox, memory, observability, and GitHub-native workflow it needs to ship real code safely.
Parallel Development
Run multiple AI developers simultaneously across independent branches, tasks, and tests.
Cloud Sandboxes
Every agent runs securely in an isolated workspace with dependencies, secrets, and test runtime separated.
Repository Intelligence
Semantic understanding of your codebase, architecture, tests, dependencies, and historical decisions.
GitHub Native
Creates branches, commits, pull requests, review summaries, and check updates automatically.
Memory
Persistent project context lets agents build on prior work without relearning the repo every run.
Observability
Watch every decision, command, test result, and pull request event as agents move through the pipeline.
Control plane
One command center for autonomous engineering teams.
Watch live progress, inspect logs, compare agent decisions, and review pull requests from a single enterprise-grade dashboard.
ContinuityAI Console
Search agents, branches, logs…
Projects
payments-core
web-dashboard
data-pipeline
Running agents
agent.auth-refactor
tests running
agent.billing-retry
opening PR
Agent timeline
Live logs
[auth] pnpm test --filter auth
[billing] wrote retry policy
[api] migrated schema safely
✓ checks passed
From repository to reviewed pull request in one parallel run.
ContinuityAI feels native to your existing development workflow because it builds around GitHub, branches, tests, and code review.
01
Connect Repository
Authorize a repo and let ContinuityAI build a semantic map of the codebase.
02
Launch Agents
Spin up isolated cloud sandboxes and assign tasks to multiple agents at once.
03
Review Changes
Inspect diffs, logs, test output, and the reasoning trail behind each pull request.
04
Merge Faster
Approve production-ready pull requests and keep your engineering roadmap moving.
Developer experience
Designed for engineers who live in terminals, pull requests, and production incidents.
ContinuityAI keeps the interface technical, inspectable, and fast. Every action is visible, every sandbox is auditable, and every change lands as code your team can review.
agent.patch.ts
streaming
const sandbox = await continuity.createWorkspace({
repo: “payments-core”,
agent: “billing-retry”,
tests: [“unit”, “integration”]
});
> agent.billing-retry analyzing retry surfaces
> wrote patch, running test matrix
✓ 12 suites passed in 38s
Enterprise-ready
Built for the teams that cannot compromise on control.
ContinuityAI gives platform and security teams the governance, isolation, and auditability they expect from critical developer infrastructure.
Security
Network isolation, scoped secrets, signed activity, and least-privilege execution.
Compliance
Controls and reporting designed for SOC2-conscious engineering organizations.
Private deployments
Dedicated regions, private networking, and deployment models for sensitive codebases.
SSO
SAML and identity-provider controls keep access aligned with your organization.
Audit logs
Trace every agent command, file change, test execution, review, and merge event.
Role-based permissions
Control who can launch agents, approve changes, manage secrets, and configure policies.
Trusted by engineering leaders building the next software factory.
The best teams don’t want another chat interface. They want reliable agent infrastructure that fits how software is shipped.
“ContinuityAI turned our backlog into parallel execution. The important part is that every change still feels reviewable, traceable, and owned by the team.”
RK
Rina Kwon
VP Engineering, AtlasGrid
“It behaves like infrastructure, not a toy. We can inspect the workspace, replay decisions, and trust agents with meaningful engineering tasks.”
MS
Milo Sandoval
Staff Platform Engineer, Northstar Labs
“The first product that made autonomous coding feel operationally mature. Parallel agents, sandbox isolation, and GitHub-native PRs changed the workflow.”
JL
Jules Laurent
CTO, Verdant Systems
Questions for serious engineering teams.
A quick look at how ContinuityAI fits into secure, high-velocity software development workflows.
How is this different from a ChatGPT wrapper?
ContinuityAI is infrastructure: isolated cloud sandboxes, repository intelligence, test execution, pull requests, audit trails, and orchestration for multiple agents working in parallel.