Tools we support
We teach concepts that work across Cursor, Copilot, Claude Code, and other AI tools. Here’s our tool matrix and recommended use cases.
We’re concept-first and tool-agnostic: you learn the PragmAIca Method once and apply it as tools evolve. These are the tools we use in talks and bootcamps, with recommended use cases for each.
| Tool | Recommended use cases | Notes |
|---|---|---|
| Cursor | Full IDE with AI; rules files, agents, inline edit; best when you want one place for code + AI and control over context. | We teach rules files (.cursor/rules), path-scoped guidance, and quality gates. Enterprise: secrets, IP, and compliance apply. |
| GitHub Copilot | Inline completions, chat, and agent-style workflows in VS Code and GitHub; strong for teams already on GitHub. | We cover agent workflows, spec-driven prompts, and PR integration. Align with your repo norms and review process. |
| Claude Code (Claude Codex) | Terminal-centric agent; good for scripts, refactors, and tasks where you want explicit tool permissions and hooks. | We teach least-privilege tool use, approval hooks, and when to prefer terminal agent vs IDE integration. |
| ChatGPT, Deep Research, NotebookLM | Research, synthesis, and exploration; drafting and summarization for day-to-day work. | Concept-first: when to cite, guardrails, and no invented metrics. Same discipline across tools. |
| Gamma, Vercel v0 | Decks and UI prototyping; turning prompts into slides or UI drafts quickly. | We reference these as accelerators; our method applies to how you spec and review the output. |