CodeMaker AI

CodeMaker AI is an AI-powered developer toolkit designed to boost software development productivity by automating writing, testing, and documenting code. It offers an integrated experience across IDEs, GitHub, and CLI to provide context-aware coding assistance, code generation, documentation generation, and scalable batch processing. The platform emphasizes enterprise readiness with starter, developer, professional, and ultimate plans, alongside a free trial to explore capabilities before committing.

How CodeMaker AI Works

• Integrates into your existing development environment (JetBrains IDEs, Visual Studio Code, GitHub App, GitHub Actions, and CLI).
• Provides context-aware code completion and code generation based on the input source context.
• Generates inline documentation automatically while you code.
• Supports large-scale batch operations across directory trees to accelerate repetitive tasks.
• Includes a hands-free, automated fine-tuning pathway to adapt models to your codebase.
• Offers a unified experience across IDEs, GitHub, and CLI for seamless workflow automation.

Getting Started

1. Choose a plan (Starter, Developer, Professional, Ultimate) based on your needs.
2. Sign up and start with the free trial (200,000 tokens, 30 days).
3. Install the required integrations (JetBrains or Visual Studio Code, GitHub App, GitHub Actions, CLI).
4. Start coding with context-aware completion, generation, and documentation features.

Plans and Pricing

• Starter: $7.50 / month — 500,000 token limit, 1x batch processing speed, IDE/CLI/GitHub Actions support, Free Trial.
• Developer: $15 / month — 1,000,000 token limit, up to 2x batch processing speed, IDE/CLI/GitHub Actions, Free Trial.
• Professional: $30 / month — 2,000,000 token limit, up to 4x batch processing speed, IDE/CLI/GitHub Actions, GitHub App, Repositories Indexes, Free Trial.
• Ultimate: $60 / month — 4,000,000 token limit, up to 8x batch processing speed, all Professional features, Free Trial.

Features

• Context-aware code completion
• Context-aware code generation based on input source context
• Hands-free inline code documentation generation
• Batch processing across entire directory structures
• IDE integrations (JetBrains, Visual Studio Code)
• GitHub App and GitHub Actions integrations
• CLI-based access for cross-platform usage
• Fine-tuning pipeline to adapt models to your codebase
• Unified experience across development environments

Safety and Best Practices

• Generated code should be reviewed for correctness.
• Use the fine-tuning option to tailor models to your codebase for improved quality.
• Understand that AI-generated results may require validation before production deployment.

Core Tools and Integrations

• IDE plugins for JetBrains IDEs and Visual Studio Code
• GitHub App and GitHub Actions for direct access to features
• Cross-platform CLI for dedicated access
• Documentation generation for inline code and projects