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Haple/agentic-engineering

Haple/agentic-engineering

Free animated course on agentic engineering: building real software with AI coding agents (Claude Code, Codex, Cursor). 24 lessons from 126 talks & articles. Your agent can take it too: npx skills add Haple/agentic-engineering
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1 ★ · Haple/agentic-engineering · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
收录与活跃
收录于 2026-10-12 · 最近见到 2026-10-12 · 共见到 1 次 · 被 1 个来源列出
评分构成
综合分 103 · 1 ★ · 1 个来源 · repo
安装
npx skills
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怎么安装?
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它适合谁 / 用来做什么?
我们把它归在这些标签下: Agent 技能。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 Haple/agentic-engineering;我们收录于 2026-10-12;最近见到 2026-10-12。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Agentic Engineering

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A free, animated course on building real software with AI coding agents.
Claude Code · Codex · Cursor · Copilot · Amp · any agent.
24 short lessons · ~98 minutes · distilled from 82 talks and 44 articles · every claim linked to its source.
▶ Start lesson 1 ·
All lessons ·
For your agent ·
Sources ·
llms.txt ·
MP4 downloads
---
**Agentic engineering** is Andrej Karpathy's name for the professional version of vibe coding: agents write and run the code, and you keep the quality bar. Since late 2025 coding agents do what you ask almost every time, and the people who build them now ship most of their code this way. This course teaches the workflow they actually use.
It's built from the talks, interviews and essays of people like Andrej Karpathy, Boris Cherny, Simon Willison, Kent Beck, Mitchell Hashimoto, Martin Fowler, Dex Horthy, Matt Pocock, Thorsten Ball, Cat Wu, Thariq Shihipar, Ryan Lopopolo, Peter Steinberger, Armin Ronacher, Geoffrey Huntley, Hamel Husain, Shreya Shankar, Charity Majors, DHH, Lauren Tan, Barry Zhang, Addy Osmani, Andrew Ng, Steve Yegge, Clare Liguori, Daisy Hollman, Mario Zechner and Theo Browne. Not affiliated with or endorsed by any of them.
What you'll learn
- **How agents work** — the loop, tool calls, context windows, and why agents are jagged geniuses
- **The core workflow** — explore → plan → implement → verify, specs, prompting, and closing the loop with real checks
- **Your toolkit** — AGENTS.md / CLAUDE.md memory files, CLIs vs MCP, skills, commands, hooks, git as a safety net
- **Scaling up** — subagents, parallel agents with worktrees, Ralph loops and long-running agents, harness engineering
- **Quality, safety, teams** — agent-friendly codebases, evals, prompt injection and the lethal trifecta, team adoption
- **The engineer you become** — which skills lose value, which compound, and what comes next
Each lesson is a 3–5 minute animated video, a full transcript, a quiz, a hands-on "try it with your agent" prompt, and cited sources. Prefer files? All lessons are also on the releases page as 1080p MP4s.
Your agent can take this course too
The course ships as **agent skills**, so your coding agent follows the same practices you learn:
Or in Claude Code, as a plugin marketplace:
| Skill | What it does |
|---|---|
| agentic-engineering | Working practices for any non-trivial coding task: explore before editing, plan in verifiable slices, verify with real checks, keep context clean, stay safe. |
| agentic-engineering-tutor | Teaches you the course inside your agent: *"teach me lesson 4"*, *"quiz me on evals"*, *"next lesson"*. |
| agentic-engineering-audit | Audits your repo's agent setup (memory files, feedback loops, skills, hooks, security) and fixes the top gaps. |
Agents can also read the whole course directly: /llms.txt · /llms-full.txt · /api/course.json · or any lesson in lessons/.
Lessons
Module 1 · The shift
What changed, and how a coding agent actually works.
| # | Lesson | Watch | Read | Length |
|---|---|---|---|---|
| 01 | **From vibe coding to agentic engineering** | ▶ watch | markdown | 4 min |
| 02 | **How a coding agent actually works** | ▶ watch | markdown | 4 min |
| 03 | **What agents are great at, and where they fail** | ▶ watch | markdown | 4 min |
Module 2 · Working with one agent
The core workflow that every other technique builds on.
来源
github · https://github.com/Haple/agentic-engineering
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