Introducing coSPEC: Run AI Coding Agents safely
We're building what teams need to run AI Coding Agents safely in production. From one-off tasks to fully automated workflows.
The shift is already happening
AI coding agents are no longer just autocomplete in your IDE. Tools like Claude Code, Codex, and Gemini CLI can clone a repo, read the codebase, write code, run tests, and open a pull request — all from a single prompt.
This is happening now. Teams are moving from "developer uses Copilot locally" to "agents run in the background, autonomously, on every ticket."
This isn't just a developer productivity story. It's a company velocity story. When agents handle the routine — patches, migrations, test coverage — your team spends time on work that actually requires human judgment.
But that shift also changes everything about how you think about infrastructure, security, and control.
Running agents is harder than it looks
When you want agents running automatically — say, picking up Jira tickets and producing PRs — you hit infrastructure problems fast.
Where does the agent run? Not on a developer's laptop. You need isolated, reproducible environments that spin up on demand and tear down cleanly.
How do you keep it safe? The agent has access to your code, your secrets, your network. One prompt injection and it's game over.
How do you control costs? An agent with no guardrails can burn through API credits in minutes. A single runaway loop and your bill spikes.
How do you know what happened? When something goes wrong — and it will — you need a full audit trail. Every command, every file change, every API call.
Most teams either build this themselves — months of work, constant maintenance — or bolt agents onto raw VMs and hope for the best.
Our CTO Adrian dives deeper into the security side of this problem:
What is coSPEC
coSPEC is API-first infrastructure for running AI coding agents securely. You send one API call. We handle sandboxing, repo cloning, agent execution, and cleanup.
Plug it into what you already use. Trigger runs from Zapier, Make, or n8n workflows, GitHub Actions, or a simple API call. Send a prompt and a repo, get a PR back.
Secure by default. Every run gets its own isolated sandbox environment with gVisor. Nothing shared, nothing persisted between runs.
Built-in guardrails. Cost limits, time limits, network allowlists. You define the boundaries, we enforce them.
Full audit trail. Every action the agent takes is logged and queryable. You always know what happened.
We're the engine, not the car. You build the workflow, the triggers, the UX. We make sure the agent runs safely underneath.
What you can build with it
coSPEC is a general-purpose execution layer — you can build whatever workflow makes sense for your team. Here are a few examples we keep coming back to:
Jira bug to PR. A ticket lands in your backlog. Your automation picks it up, calls coSPEC with the bug description and repo. Minutes later, there's a PR ready for review. No developer context-switched.
Here's what this looks like as an n8n workflow — three nodes, fully automated:
Automated CVE remediation. A vulnerability advisory drops. Your pipeline scans affected repos, triggers coSPEC runs to patch the dependency and verify tests pass. By morning, PRs are waiting across all affected services.
PR review bot. Every pull request triggers an agent that checks code quality, runs tests in an isolated environment, and posts a review summary. Not pattern matching — actual execution and analysis.
Scheduled codebase maintenance. A weekly cron triggers agents to update dependencies, fix lint warnings, or migrate deprecated API calls. Each run isolated, each change reviewed before merge.
Your own AI product. You're building a dev tool or an AI-powered product for your clients. You need agents to actually run code, not just generate it. coSPEC gives you the secure execution layer so you can focus on your product — the UX, the triggers, the logic — not on sandboxing infrastructure.
How it fits together
coSPEC is an API. Plug it into what you already use.
Call it from n8n, Make, or Zapier workflows. Trigger it from GitHub Actions on push or PR events. Or just curl it from a script.
No vendor lock-in, no proprietary workflow language. Your orchestration, our execution.
Where we are now
We're in closed beta, with a GA launch planned in max two months. This is early — we're building alongside our first users, iterating fast, and being honest about what works and what's still rough.
If you're building AI-powered dev workflows and need secure agent execution underneath — let's talk!
Ready to get started?