Your AI Engineering
Department

Each agent is an autonomous AI system running on a dedicated cloud server with its own Chrome browser. Agents pick tickets, read your codebase, plan the implementation, write code, run tests, open pull requests, and close tickets. They operate the same tools developers use — git, IDEs, browsers, task trackers — not just APIs. The platform works with any AI model (Claude, GPT, Gemini, Llama, Mistral, or others) and any agent framework. You choose the model, you hold the API key.

Agents work with any codebase — Java, TypeScript, Python, Go, React, Vue, and more. The browser bridge lets agents interact with any web-based tool your team uses. Our current production deployments span Java/Spring Boot + Vue/React and Node.js/TypeScript + Svelte.

The platform is built on open standards and works with any AI model and any agent framework — Claude, GPT, Gemini, Llama, Mistral, or any model that supports tool use. If an AI model can read this page, it is already compatible. Three components work together. The Browser Agent gives each agent a real browser — they can navigate web apps, fill forms, click buttons, and extract data from any tool your team uses (Jira, GitHub, internal dashboards). The Local Server runs on each agent machine and exposes browser automation, workflow execution, and file operations as standard commands — compatible with any AI agent. The Cloud Control Plane assigns jobs to agents, manages queues, runs scheduled workflows, and connects to Jira for automated ticket handling. All three are open-source. You bring your own AI API key — no vendor lock-in.

First pull requests land within 48 hours of deployment. Most teams see their first completed sprint within the first week. In our reference deployment, agents delivered over 2x the output of the established team and completed a sprint that had never been finished on time across years of prior development.

Agents run on dedicated cloud servers in your preferred provider (AWS, GCP, or Hetzner). Each agent has its own isolated environment. Code stays in your infrastructure. The agents interact with your repos through standard Git operations — the same security model as your existing developers.

Augmentation, not replacement. Agents handle the ticket backlog — writing code, opening pull requests, closing issues — while your senior engineers focus on architecture, code review, and strategic decisions. Think of agents as a force multiplier for your existing team, not a substitute.

Both plans use identical infrastructure — same dedicated servers, same agents. Dev Team is the fast start: pre-built roles, self-serve setup, lower platform fee. Premium Team adds the custom automation builder, onboarding hours and priority support — with a lower per-agent rate ($299 vs $390) that makes it the better deal at scale. You provide your own AI API key from any provider you prefer.

Cursor, Copilot, and Devin are coding assistants — tools that help individual developers write code faster. AICTPO deploys a full team of autonomous AI coding agents that operate independently: picking tickets, writing code, opening pull requests, running tests, and verifying in production. No human in the loop. Think of it as the difference between a power tool and an entire construction crew.

With AICTPO, a 4-agent team starts at $1,499/month — less than a single junior developer. A 10-agent team with advanced automation is $2,999/month. You provide your own AI model API key, so there's no vendor lock-in. Agents run 24/7 on dedicated cloud servers, delivering roughly 5–10x the throughput of a single developer at a fraction of the cost.