Awesome AI Coding Tools: A Three-Tier Guide to Agents, Models, and Benchmarks

Summary

The GitHub repository presents a curated catalog of AI coding tools organized into beginner, intermediate, and expert tiers. The first tier covers plug-and-play IDEs and editor extensions such as Cursor, Windsurf, Continue.dev, Codeium, and Zed. The second focuses on terminal agents, parallel agent managers, MCP servers, local models, and offline execution engines including Aider, Cline, Ollama, llama.cpp, LM Studio, and vLLM. The catalog recommends AGENTS.md as a cross-tool project-context convention and compares it with CLAUDE.md, .cursor/rules, and SKILL.md. It also explains repository-scale context assembly using Tree-sitter, symbol extraction, dependency graphs, PageRank-based repo maps, and token-budget packing. A hardware table pairs 8GB, 12GB, 16GB, and 24GB VRAM configurations with quantized coding models and Ollama commands. The expert tier covers autonomous software engineers such as OpenHands and SWE-agent, code-editing representations, testing loops, and academic work on SWE-bench, code generation, repository retrieval, and self-debugging. In the supplied leaderboard, OpenHands with CodeAct 2.1 and Claude 3.7 Sonnet records the highest listed SWE-bench Verified result at 68.2% pass@1, while Aider with local Qwen2.5-Coder-32B is listed at 38.4% with no cloud cost. The repository also provides setup recipes, free-tier and cost guidance, MCP configuration examples, security notes, and contribution instructions. These benchmark figures and tool descriptions are presented as catalog content and should be checked against current implementations and evaluation conditions.