by agenticloops-ai · AI 工具 · ★ 365
English | Deutsch | Español | français | 日本語 | 한국어 | Português | 中文 Agentic AI Engineering Stop reading about agents. Start building them. This is the repo for engineers who want to understand what's behind popular agents like Claude Code, Codex, and GitHub Copilot and how to build one by yourself. From your first LLM call to a production eval harness. Building AI agents is engineering, not magic. Master the constraints, not the hype.
| Stars | 365 |
| Forks | 74 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 66.0418085637617/100 |
| Open Issues | 8 |
| Last Updated | 2026-10-16 |
| Created | 2026-01-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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agentic-ai-engineering is Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.. It is categorized as a AI 工具 with 365 GitHub stars.
agentic-ai-engineering is primarily written in Python. It covers topics such as agentic, agentic-ai, agentic-loop.
You can find installation instructions and usage details in the agentic-ai-engineering GitHub repository at github.com/agenticloops-ai/agentic-ai-engineering. The project has 365 stars and 74 forks, indicating an active community.
agentic-ai-engineering is released under the MIT license, making it free to use and modify according to the license terms.