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A cloud environment optimized for AI agents

  1. Lower cost

    53% lower token usage

    The prepared environment reduces repeated project discovery and setup, so the agent spends fewer tokens before and during implementation.

  2. Faster delivery

    1.45× faster execution

    The agent starts with a working environment and a proven workflow, shortening the path from issue to pull request.

  3. Better results

    ✓ verified before review

    The agent verifies the change, reports remaining gaps, and follows up on review feedback in labeled pull requests.

See how the prepared environment works

Environment ready before the agent starts

The agent starts with the task, not the setup

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.

Typical coding agent

Repository

Implementation

  1. Installation and configuration
  2. Starting the application and services
  3. Defining the verification approach
  4. Environment troubleshooting and diagnosis

Verification

Verified pull request

Codebase.run

Prepared environment

Implementation

Verification

Verified pull request

Before the agent starts working

We prepare the project environment so the agent can focus on the task

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.

  1. Map the project

    We identify the stack, runtime versions, dependencies, configuration, and required databases, containers, and services.

  2. Run the full system

    We install dependencies, apply required migrations, and start the application and its services in the correct order.

  3. Validate the verification path

    We run available builds, static checks, and unit, integration, and browser tests. We determine which of them meaningfully verify a change.

  4. Capture the working workflow

    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

A prepared environment gives the agent better conditions to build and verify the change

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.

  • The context stays focused on the task

    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.

  • Fewer tools, fewer wrong paths

    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.

  • Tests provide feedback during implementation

    The agent can run the application, required services, builds, and tests while implementing the change. Relevant checks run again when the agent updates the PR in response to review feedback or failing CI.

What your team gains

Your team receives a verified change with evidence, and the agent can follow through on feedback in the same pull request. Reviewers can focus on product and architectural decisions. You decide when to merge.

Get started in one click

Secure and simple

Sign in with GitHub, install the Codebase.run GitHub App, choose a repository, and you’re ready.

  • 1000 free credits to get started
  • No credit card required
  • Only you decide when a PR is merged
Start for free
Overlapping GitHub App installation and Codebase.run windows showing repository selection and a successful connection.

Security

Autonomy without handing credentials to the agent.

Capabilities, not credentials.

Isolated execution

Code runs in a dedicated runtime with an isolated filesystem and network, with no access to host infrastructure.

Credential brokering

The agent calls permitted capabilities. Raw tokens never enter the agent process, and outbound traffic is filtered against exfiltration.

Pre-publish trust gate

Before anything is published, the system checks that the patch will not trigger automatically in a privileged, unsafe CI workflow.

  1. Agent runtime capability call
  2. Security proxy authenticated request
  3. GitHub, registries, external APIs

AI Readiness Report

How ready is your project for AI agents?

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.

Request a report

  1. Environment readiness

    Starting the application, dependencies and supporting services.

  2. Verification coverage

    Builds, tests and checks that give agents useful feedback.

  3. Concrete improvements

    Obstacles and priorities for faster, more reliable agent work.