Breaking

awesome-ai-prompts lists 71 copy-paste workflows for student coding agents

September 1, 2026 at 12:46 EDT

Software Dev & Coding
Open Source
Education

A public GitHub repository named awesome-ai-prompts now indexes 71 copy-paste prompts for student developers using AI coding agents, covering coding, debugging, Git and GitHub, testing, system design, security, DevOps, career, frontend, and data work. Each file is meant to be pasted into an agent such as Claude, ChatGPT, Copilot, Cursor, or opencode so the model follows a verification-first workflow: small steps, tests as guardrails, and no unverified claims.

September 1, 2026 · StudentSuite

71 prompts, built to verify

awesome-ai-prompts is an MIT-licensed pack of copy-paste workflows for student developers using coding agents. It grew from 26 prompts at the v0.1.0 launch to 71 across 11 categories.

Prompts in the README index

Workflow categories

Prompts at v0.1.0 (Aug 15)

MIT

Open license, free to reuse

Launch pack versus current index

Same unit: prompt files. Column height is proportional (4 blocks vs 11 blocks ≈ 26 vs 71).

v0.1.0 launch

Current README

More than double the original 26-prompt release, still under an unreleased changelog.

How a prompt is used

1 · Browse

Pick a category and a *-prompt.md file

→

2 · Copy

Copy everything after the --- divider

→

3 · Paste

Drop it into Claude, ChatGPT, Copilot, Cursor, or opencode

What users like

Tool-agnostic copy-paste blocks that force reproduce-then-fix discipline across coding, Git, tests, security, and career tasks.

What still limits it

Early GitHub traction (8 stars, 0 forks), a 50-issue maintainer backlog, English-only files, and output that still needs human review.

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