For Engineering Leaders

Give every team a coding agent. Keep your engineers focused.

Give every team a scoped coding agent in a safe sandbox, so engineering can stay focused on the work only they can do.

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Works with your favorite coding agents

Claude Code

Codex

Gemini CLI

#incidents-eng· 47 members

Channel

PagerDutyAPP11:23 AM

P1Login API latency p99 > 2000ms

rain-api-service prod · 8 events in 2m · acked by oncall

Sound familiar?

The backlog grows faster than the team

Engineering tickets stack up every sprint, and the small wins for other teams keep getting pushed.

Every team wants engineering time

Every team needs code to ship their work, so each request becomes a ticket that engineering owns.

No safe way to roll out coding agents

Engineers are already running Claude Code and Codex on their laptops, with no visibility into what they touch.

What Runtime gives your engineering org

Background agents that clear the backlog

Trigger an agent from Linear, GitHub, or Slack, and it opens a sandbox, writes the code, and posts a pull request.

24/7 on-call agent for alert triage

Connect PagerDuty, Sentry, and Datadog so every alert triggers an agent that pulls the trace and proposes a fix in a pull request.

Org-wide templates and guardrails

Define which models, repos, secrets, and policies each team can use, so new teams onboard in a click with your security review applied.

Mission Control across every team

See every active session, prompt, and dollar in one place, with spend limits per team or repo before usage hits your invoice.

Bring your own keys and self-host

Authenticate Anthropic, OpenAI, and Google keys through OAuth, or run Runtime inside your own VPC with secrets injected at runtime.

Works with any stack you already ship

TypeScript, Python, Ruby, Java, Go, Rust, Docker, and Kubernetes work out of the box, alongside your existing CI and toolchain.

Plugs into your platform stack.

PagerDuty

Sentry

Datadog

GitHub

Linear

Slack

Alert to pull request.

PagerDuty alert fires. Latency on /checkout p95 jumps from 220ms to 1.4s in the last 10 minutes.

Runtime agent triages. Agent pulls the trace, opens the repo in a sandbox, and finds a new N+1 query from the last deploy.

Pull request opened. Agent posts a PR with the fix, a regression test, and a link to the offending trace for on-call to approve.

You already use Claude Code, Cursor, or Codex. Here is what is missing.

Runtime adds the cloud infrastructure, team controls, and automation your coding agents need outside a single laptop.

Without Runtime

With Runtime

Where agents run

Each engineer’s laptop

Cloud sandbox with dependencies pre-installed

Team visibility

Solo runs, no shared view

Mission Control with activity, spend, and audit

Background automation

Engineers babysit each run

Agents triggered from tickets, alerts, and Slack

Onboarding new teammates

Hours per laptop, brittle setup

One template, sandbox ready in seconds

Shipping code

Manual git workflow per engineer

Pull request opened from the sandbox

Environment management

Docker plus README maintenance

Org templates with scoped secrets

Key management

Hardcoded in env files

Bring your own keys via OAuth, injected at runtime

Access for non-engineers

Not possible safely

Scoped agents per team with policy by default

Capability	Without Runtime	With Runtime
Where agents run	Each engineer’s laptop	Cloud sandbox with dependencies pre-installed
Team visibility	Solo runs, no shared view	Mission Control with activity, spend, and audit
Background automation	Engineers babysit each run	Agents triggered from tickets, alerts, and Slack
Onboarding new teammates	Hours per laptop, brittle setup	One template, sandbox ready in seconds
Shipping code	Manual git workflow per engineer	Pull request opened from the sandbox
Environment management	Docker plus README maintenance	Org templates with scoped secrets
Key management	Hardcoded in env files	Bring your own keys via OAuth, injected at runtime
Access for non-engineers	Not possible safely	Scoped agents per team with policy by default

Frequently asked questions

Do we need to switch coding agents to use Runtime?

No. Runtime hosts the sandboxes, templates, and policies, and runs the agent your team already prefers, including Claude Code, Codex, Cursor CLI, and Gemini CLI.

How does Runtime fit with our existing CI and code review?

Agents commit to a branch and open a pull request like any other developer. Your CI runs, your reviewers approve, and the merge follows your existing process end to end.

Can we self-host Runtime inside our VPC?

Yes. Enterprise customers can run Runtime inside their own AWS, GCP, or Azure account so secrets, source code, and model traffic never leave their network.

How do you keep agents from touching production?

Sandboxes are isolated by default and only receive the secrets, repos, and scopes you assign. Agents cannot reach a production database or a deploy hook unless your policy explicitly allows it.

How do we control cost as more teams start using agents?

Mission Control shows live spend by team, by repo, and by model, with per-team budgets and hard caps. You set the policy, and the platform enforces it before usage runs ahead of the plan.

Can a non-engineer use Runtime safely?

Yes, and that is the point. Product, design, support, and finance get scoped templates that limit which repos and tools they can use, and every change still flows through your normal pull request review.

Multiply your team without growing headcount

Set up org templates, give every team a scoped agent, and watch the backlog clear. No credit card required.

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