Codebase.run The prepared environment reduces repeated project discovery and setup, so the agent spends fewer tokens before and during implementation.
The agent starts with a working environment and a proven workflow, shortening the path from issue to pull request.
The agent runs the application, tests the change, and reports any remaining verification gaps before opening the pull request.
Environment ready before the agent starts
Codebase.run learns your project and prepares a working environment before work on tasks begins. When you assign an issue, the agent already has proven commands, required services, and a verification path.
Repository
Assigned issue
Verified pull request
Prepared environment
Assigned issue
Verified pull request
Before the agent starts working
We do not rely on documentation alone. We run the project, validate its dependencies and services, and record a proven way to build, test, and verify changes.
We identify the stack, runtime versions, dependencies, configuration, and required databases, containers, and services.
We install dependencies, apply required migrations, and start the application and its services in the correct order.
We run available builds, static checks, and unit, integration, and browser tests. We determine which of them meaningfully verify a change.
We create a project execution profile: proven commands, startup order, required services, and verification procedures. The agent uses it for future tasks.
Better conditions for implementation
The agent receives a working project, a proven workflow, and one clearly defined task. This keeps more of its context focused on the problem, the code, and the consequences of the change.
Environment setup and troubleshooting attempts do not fill the work history. The agent can keep the requirements, architecture, and relevant code in context throughout the implementation.
The optimized environment provides the tools required to work with the project. It limits distracting options and helps the agent follow a consistent path from analysis to a completed change.
The agent can run the application, required services, builds, and tests while implementing the change. Errors and regressions return to the agent before the change reaches review.
Your team receives a change produced under repeatable conditions, checked before review, and supported by evidence. Reviewers can focus on product and architectural decisions instead of determining whether the project runs and what the agent actually verified.
Get started in one click
Sign in with GitHub, install the Codebase.run GitHub App, choose a repository, and you’re ready.
Security
Capabilities, not credentials.
Code runs in a dedicated runtime with an isolated filesystem and network, with no access to host infrastructure.
The agent calls permitted capabilities. Raw tokens never enter the agent process, and outbound traffic is filtered against exfiltration.
Before anything is published, the system checks that the patch will not trigger automatically in a privileged, unsafe CI workflow.
AI Readiness Report
We are preparing a report that will show what helps agents work effectively in your project, what gets in their way and what to improve first. Based on actually building and running your application.
Starting the application, dependencies and supporting services.
Builds, tests and checks that give agents useful feedback.
Obstacles and priorities for faster, more reliable agent work.