GuideIntermediate
The AI Coding Tools Landscape
Navigate the complete AI coding tools ecosystem with confidence. Evaluate Cursor (modes, rules, Cloud Agents), GitHub Copilot (Agent Mode, CLI agents, AGENTS.md), Cline (open-source, ACP), Windsurf (Cascade), and OpenAI Codex CLI. Build a personal decision matrix for evaluating tools objectively, develop a multi-tool strategy with Claude Code as your primary tool, and master AGENTS.md — the emerging standard adopted by 60,000+ repos. 6 progressive modules from tool evaluation to a configured personal toolkit.
- 64
- lessons
- 8
- modules
- English · Spanish
- available in
- Yes
- certificate
- Free
- access
Outcomes
What you'll be able to do
- Evaluate Cursor: modes (Agent/Plan/Ask), rules, Cloud Agents, Long-running Agents
- Understand GitHub Copilot: Agent Mode, CLI agents, AGENTS.md support
- Explore Cline: open-source (57k+ stars), CLI 2.0, ACP multi-editor
- Know Codex CLI, Gemini Code Assist, and emerging tools
- Build a weighted decision matrix for evaluating tools objectively
- Define a multi-tool strategy with Claude Code as primary
- Master AGENTS.md: structure, implementation, relationship with CLAUDE.md
- Configure a documented personal toolkit with justified complementary tools
Before you start
What you need to bring
It's for you if...
- Developers using Claude Code who want to understand what else exists in the ecosystem
- Tech leads evaluating AI coding tools for their team
- Developers who heard about Cursor, Copilot, or Cline and want to evaluate objectively
- Multi-tool teams needing a shared standard (AGENTS.md)
- Anyone following the Claude Code Agentic Development Path
Requirements and materials
- Understanding of how coding agents work (Path Guide #1)
- Claude Code installed and configured (Path Guide #2)
- Basic experience with an IDE (VS Code, JetBrains, or similar)
- Basic Git
- No prior experience with other AI tools required
Content
The syllabus, module by module
Open any of them to see its lessons.
- 1. Introduction: A Map That Changes Every Month
- 2. The Surfaces of an AI Coding Tool
- 3. Model and Harness: Why the Same Model Performs Differently
- 4. 2026 in Six Moves
- 5. Reading Primary Sources: Docs, Changelog and Pricing
- 6. How They Charge: Seat, Credits, Pool and API Price
- 7. Data and Privacy as a Buying Criterion
- 8. Project: The Dated Tool Card
- 1. Introduction: the bench tool
- 2. Cursor
- 3. GitHub Copilot in the editor
- 4. JetBrains: Junie and AI Assistant
- 5. Zed and the Agent Client Protocol
- 6. IDEs built around the agent: Antigravity and Devin Desktop
- 7. Comparing two editor agents on the same repo
- 8. Project: comparative dossier of two editor agents
- 1. Introduction: the house-call service
- 2. Copilot cloud agent and third-party agents on GitHub
- 3. Codex cloud
- 4. Cursor cloud agents and Bugbot
- 5. Managed PR review: what it does and what it doesn't
- 6. The cost you don't see: minutes, credits, and retries
- 7. Permissions and risks of the unsupervised agent
- 8. Project: the cloud agent policy
Common questions
What people usually ask
No limit. It's a free guide: come in whenever you like, as often as you like.
No. Modules run from easier to harder, but you can jump to the one you need. Progress is saved per lesson.
Whatever is needed is listed under “What you need to bring”, above. If nothing is listed there, you can start from zero.
In the WhatsApp group, and every two weeks there's a live with an instructor where questions get worked through.
Yes. It's issued automatically once you finish every lesson, with a verifiable code you can share on LinkedIn.
Start whenever you like
What students say
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