awesome-ai-coding-techniques  by inmve

Guide to AI coding assistant techniques

Created 2 months ago
266 stars

Top 96.2% on SourcePulse

GitHubView on GitHub
1 Expert Loves This Project
Project Summary

<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This repository curates practical, community-tested techniques for leveraging AI coding assistants like Claude Code, Codex CLI, and GitHub Copilot. It targets developers seeking to enhance productivity and code quality by integrating AI across the software development lifecycle, from planning to refactoring. The resource offers actionable strategies and examples to optimize AI utilization in software engineering.

How It Works

This resource organizes techniques by development stage (requirements, planning, coding, debugging, testing, refactoring). It highlights specific AI tools and provides actionable examples of prompts and workflows, drawing from practitioner experience. The approach emphasizes a community-driven, practitioner-tested methodology, creating a living repository of AI coding strategies.

Quick Start & Requirements

  • Access the curated techniques via the live website: https://coding-with-ai.dev.
  • Contributions are welcomed; refer to CONTRIBUTING.md for guidelines.
  • No software installation is required to use this resource.

Highlighted Details

  • Community-driven and practitioner-tested techniques.
  • Comprehensive organization by software development lifecycle stages.
  • Broad coverage of popular AI coding assistants.
  • Practical examples, prompts, and tool-specific configurations.
  • Multi-lingual support (English, Español, Deutsch, Français, 日本語).
  • Indicated as actively developed.

Maintenance & Community

  • The project is community-maintained and actively developed, with contributions encouraged.
  • Live site: https://coding-with-ai.dev
  • Contribution guidelines: CONTRIBUTING.md

Licensing & Compatibility

  • No license information is provided in the README. This is a critical omission for evaluating adoption.

Limitations & Caveats

  • The repository is a curated collection of techniques, not executable software. Its value hinges on the quality and applicability of community-contributed methods.
  • A critical adoption blocker: no licensing information is provided, preventing assessment of commercial use or integration compatibility.
  • The project is indicated as actively developed, but specific update dates in the source text appear to be placeholders.
Health Check
Last Commit

1 week ago

Responsiveness

Inactive

Pull Requests (30d)
7
Issues (30d)
0
Star History
52 stars in the last 30 days

Explore Similar Projects

Starred by Alex Yu Alex Yu(Research Scientist at OpenAI; Cofounder of Luma AI), Will Brown Will Brown(Research Lead at Prime Intellect), and
7 more.

avante.nvim by yetone

0.5%
16k
Neovim plugin emulating Cursor AI IDE for AI-driven code assistance
Created 1 year ago
Updated 4 days ago
Feedback? Help us improve.