When engineers leverage AI coding agents like Claude Code or Devin, productivity skyrockets—until the rest of the team tries to join in. Projects stall when non-engineers hit roadblocks: inconsistent setups, unmergeable pull requests, or accidental secrets leaks. Runtime changes this by turning coding agents from solo tools into seamless team workflows.
From solo sprints to team-wide chaos
Gus O’Donnell and Carlos Garcia experienced this firsthand while building products after Mentum’s acquisition. O’Donnell shipped four full-stack applications in three months using coding agents, but scaling the workflow to other team members proved nearly impossible. Pull requests became unmanageable, repositories required one-off engineering setups, and critical context lived only in a few engineers’ heads. For Garcia, who faced similar challenges at Modern Treasury with Devin, the problem wasn’t the agents—it was the surrounding infrastructure.
The duo realized ad-hoc internal solutions were unsustainable. Custom agent setups became maintenance nightmares, security risks mounted, and knowledge remained siloed. Instead of patching the problem, they built Runtime—a platform designed to make agent collaboration as simple as defining shared rules and letting the system handle the rest.
Sandboxes that mirror real environments in milliseconds
Runtime redefines how teams deploy coding agents by emphasizing reproducibility and control. Engineering teams define the context once: system instructions, skills, and scoped integrations. These configurations install via familiar package managers like CLI, mise, npm, or others. But Runtime goes further—it snapshots the entire running environment, including multi-service Docker Compose setups, Kafka clusters, Redis instances, and seeded databases.
The magic lies in startup speed: sandboxes spin up in milliseconds with every server pre-configured. Runtime orchestrates across multiple sandbox providers including E2B, Daytona, EC2, or self-hosted Kubernetes clusters, adapting to each team’s infrastructure preferences. Secrets never touch the agent directly; instead, they’re injected through a managed proxy with robust guardrails.
Security isn’t an afterthought. Runtime enforces command allow/deny lists, network egress controls, and role-based access control that’s scoped per human and per agent. Every session generates a shareable preview URL, eliminating the need for production access while keeping the entire team aligned.
Agents that work with your existing stack
Runtime integrates seamlessly with the agents your team already uses: Claude Code, Codex, Cursor, Copilot, Gemini, or Devin. Sandboxes can be triggered from multiple channels—web app, CLI, Slack, Linear, GitHub, or via API. This flexibility means teams can adopt Runtime without disrupting established workflows.
Early adopters are already seeing transformative results. One customer built an on-call inspector that connects PagerDuty and Sentry to their repository. When an alert fires, the agent identifies the root cause and automatically opens a pull request with a unit test—preventing pages. Another team runs a finance agent in a private Slack channel, pulling data from Stripe, NetSuite, and Snowflake to reconcile accounts in minutes, complete with source row attachments for audit trails.
Built for scale, priced for simplicity
Runtime’s core technology is open source, giving teams the freedom to inspect and modify the underlying system. The hosted version at app.runtm.com includes a free tier, with paid plans offering advanced features at a flat platform fee plus compute costs—no hidden token markups or unpredictable pricing.
The team has already onboarded major customers, including a fintech unicorn and several YC scaleups. Notably, some teams had previously built similar internal solutions before handing them over to Runtime for ongoing management.
As coding agents evolve from experimental tools to essential infrastructure, the challenge shifts from building agents to building the systems that let everyone use them safely. Runtime isn’t just another agent platform—it’s the missing layer that turns individual productivity into organizational capability.
AI summary
Runtime, geliştiricilerin ve diğer ekip üyelerinin yapay zeka destekli kodlama ajanlarını güvenle kullanmasını sağlayan sandbox altyapısı sunuyor. Detaylar burada.
