CodePress

CodePress is an engineering system for putting AI coding agents to work across a company's software delivery process. It is built for tasks that need more than a local coding conversation, including taking an issue through implementation and tests, responding to a production signal, reviewing code, and returning a pull request for approval. The platform combines agents with cloud execution, company context, triggers, connected tools, QA, review, and approval gates. A team can start with one workflow and expand after it has proved useful in the real stack. That focus makes CodePress closer to shared agent infrastructure than to an editor extension for an individual developer.

A typical workflow begins with a feature, bug, migration, or infrastructure task. The agent works inside an isolated cloud environment where it can run the application, use tools, execute tests, perform browser-driven QA, and expose a live preview. CodePress can then route the result through independent merge judgment and code review before marking a pull request ready for a person to approve. Work can also start from a Sentry issue, failing CI run, database regression, GitHub event, Slack message, connected tool, or schedule. This lets a production signal trigger investigation and a proposed fix instead of ending as another alert that an engineer must manually translate into a task.

The system is designed around reusable engineering workflows rather than a single hard-coded agent. Teams can combine agents, company context, skills, tools, triggers, permissions, and approval steps into a process that other employees can run. Models can be assigned to the parts of the job they suit, such as planning, implementation, review, or QA. CodePress offers managed model usage at the provider's token cost with no CodePress markup, and it also supports connecting an API key or a supported ChatGPT or Claude subscription. Repositories, integrations, models, delivery rules, and access scopes are configured at the company level, so the operating setup does not have to live on one engineer's laptop.

CodePress can serve software engineers who want to delegate lengthy implementation work, but its scope extends to designers, founders, operations staff, and support teams. A running development environment can be shared in the browser, letting someone inspect the live product, point at a desired change, and describe it without installing a local toolchain. The same system can produce internal tools, dashboards, customer portals, admin panels, and marketing pages, then deploy them to company infrastructure or hosting run by CodePress. Each agent can have an identity, specific company data and tools it is allowed to use, named approvers, and an audit trail. The company keeps the final decision over whether work ships.

What separates CodePress from a standalone coding assistant is the orchestration around the model. Cursor, Claude Code, Codex, and similar tools give individual developers capable agents. CodePress provides shared places for those agents to run and a repeatable path from trigger to tested, reviewed, approved work. The model layer is deliberately flexible, so adoption does not require replacing every supported model or subscription a team already uses. Shared live previews also create a practical bridge between engineering and colleagues who can judge a change in the product but do not work in a development environment. This broader design carries setup overhead, since repositories, permissions, integrations, and approval rules need to reflect how the company actually delivers software.

Access is paid and usage based, with no base subscription. On-demand execution costs $4 per agent-hour, metered by the minute from runner start until stop. Idle runners shut down automatically after two to ten minutes, although that idle tail remains billable runtime. Teams that expect sustained use can reserve a dedicated agent for $125 per month, which the pricing page positions as the better value above roughly 31 hours in a month. Additional concurrent agents still run on demand. Model tokens are billed separately from agent compute. Teams can pay for CodePress-managed models at provider cost or keep model charges with their own connected provider. There is no published free tier, so evaluation begins with billable execution. This structure is flexible for a trial workflow, but buyers should estimate both runner time and model usage rather than treating the headline compute rate as the complete cost.