Sandboxed agent infrastructure for non-engineering teams

AIThis description was written by a model from public signals. The facts behind it are listed under Evidence.

Problem

Teams want to give coding agents (Claude Code, Devin, etc.) to non-engineers and the whole organization, but can't safely do so: code quality suffers, there's no consistent environment setup, knowledge stays siloed with individuals, and non-engineers risk deploying bad code or leaking secrets.

Solution concept

A platform that provides pre-configured, safe sandboxes where agents can work on code tasks. Engineers define the context once—system instructions, skills, and scoped integrations—and the platform snapshots the full environment (Docker Compose, databases, external services). Non-engineers trigger agents from familiar tools (Slack, Linear, GitHub), code and preview outputs are reviewed before merging, secrets are kept safe through a managed proxy, and guardrails enforce command allow/deny lists and network controls at the infrastructure level.

Who has it

Engineering leaders and teams at startups and scaleups who want to expand coding agent use beyond their engineering staff to PMs, support, finance, and on-call teams.

How they handle it today

Today, engineering either handcrafts custom infrastructure internally to gate agent access, or they prevent non-engineers from using agents entirely. When agents are allowed, PRs are often unmergeable, local setup is required for each repo, and context knowledge remains in one person's head. There is no safe way for non-engineers to touch a real codebase without risking bad deploys or exposing secrets.

Why now

Coding agents (Claude Code, Codex, Devin, Copilot, Gemini) are now capable enough that teams want to use them beyond engineers, but the infrastructure to do this safely at scale does not exist in standard tooling. Teams are currently building custom solutions or avoiding the problem.

How it could charge