AI Tools for Go (Golang) Development: Overview for Efficient Code

Artificial Intelligence for Go Developers: What to Choose in 2024?

Go (Golang) has firmly established itself in the niche of high-load backend services, microservice architecture, and DevOps tools. However, even experienced developers spend up to 30% of their time on routine tasks: writing boilerplate code, tests, documentation, or refactoring. Modern AI tools can reduce this time significantly. We have compiled for you a selection of the most relevant AI assistants that work great with Go.

1. GitHub Copilot — Universal Assistant

The most popular AI companion based on GPT-4 from OpenAI. In the Go environment, it shows excellent results:

• Context autocompletion — Copilot analyzes neighboring files, types, and interfaces, offering not just templates, but meaningful code blocks.
• Type and struct generation — just describe a JSON API response, and Copilot will create the structure with tags itself.
• Test writing — based on a function signature, it generates tests using the testing package and table-driven approaches.

2. Tabnine — Privacy and Custom Models

An alternative to Copilot, especially valued in enterprise environments. For Go development, Tabnine offers:

• Local model — code does not leave for third-party servers, which is critical for working with private repositories.
• Smart completions — understands Go idioms perfectly: goroutines, channels, error handling.
• Integration with GoLand and VSCode — works without delays, even on large projects.

3. Cody (Sourcegraph) — Context of the Entire Codebase

A powerful AI assistant that "sees" your entire repository. Key features for Go:

• Codebase-aware answers — you can ask "Show me an example of using this interface in the project", and Cody will find all references.
• Documentation generation — creates a description in GoDoc format for a module.
• Refactoring — helps rewrite loops into goroutines or replace outdated patterns.

4. Codeium — Fast and Free Start

An excellent choice for small teams and solo developers. Advantages:

• Free tier — matches Copilot in autocompletion speed.
• Chat for refactoring — you can select a piece of code and ask "Optimize this error handler for Go 1.21".
• Full Go support — understands generics, context, packages.

5. Specialized Tools: GoAI and gptel

For those who want more control:

• GoAI — an open-source terminal utility. Allows you to generate and refactor code directly from the command line. For example: goai "write a middleware for logging".
• gptel — an Emacs client for chatGPT, perfectly tailored for Go projects. Supports inserting generated code with auto-formatting via gofmt.