jetbrains/go-modern-guidelines

Help AI coding agents write modern Go

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Summary Information

Updated 16 minutes ago
Added to GitGenius on August 28th, 2026
Created on November 24th, 2025
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Enabled
Number of forks: 83
Total Stargazers: 2,967 (+1)
Total Subscribers: 22 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.1 hours
Mean response time: 14.0 days
90th percentile: 2.2 days
Tracked items: 10

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 20% of issues opened in the past year have been closed.

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Issue Activity (beta)

Open issues: 4
New in 7 days: 8
Closed in 7 days: 6
Avg open age: 72 days
Stale 30+ days: 2
Stale 90+ days: 2

Recent activity

Opened in 7 days: 8
Closed in 7 days: 6
Comments in 7 days: 1
Events in 7 days: 4

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Detailed Description

Go Modern Guidelines is a reference resource that helps AI coding agents write modern Go code.

The repository addresses two problems that cause coding agents to generate outdated Go: training data lag, where models lack knowledge of recently added language features, and frequency bias, where agents favor older patterns that appear more often in training data. The guidelines cover language features and standard library additions from Go 1.0 through Go 1.27, enabling agents to detect a project's Go version from go.mod and use only the idioms and functions available in that version. Examples include preferring max(a, b) over if-else blocks, slices.Contains over manual loops, and cmp.Or for nil checks, along with newer additions like pointer creation with new(42) and type-safe error matching with errors.AsType[T].

The tool is designed for teams using AI coding agents like Junie, Claude Code, Codex, or Cursor who want those agents to generate code aligned with current Go best practices. It suits any project where maintaining modern Go idioms matters, particularly those targeting recent Go versions. The guidelines align with the Go team's modernize analyzer, which automatically updates existing code to newer patterns; these guidelines serve the same goal for newly generated code, reducing the need for post-generation fixes.

The project maintains active integrations across multiple AI coding platforms, with installation mechanisms that automatically fetch a compatible Go toolchain on first use and store it in a local cache without modifying the project itself. The guidelines are kept current with each Go release, covering features up through the latest stable version.