--- title: "prompt-patterns vs ai-engineering-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/phodal-prompt-patterns-vs-rohitg00-ai-engineering-from-scratch" tools: ["phodal-prompt-patterns", "rohitg00-ai-engineering-from-scratch"] --- # prompt-patterns vs ai-engineering-from-scratch *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompt-patterns when tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion; pick ai-engineering-from-scratch when pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up. [prompt-patterns](https://prompt-patterns.phodal.com) reports 3.1k GitHub stars, 198 forks, and 0 open issues, last pushed Mar 22, 2023. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 38k stars, 6.3k forks, and 96 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [prompt-patterns's repository](https://github.com/phodal/prompt-patterns) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch). | | [prompt-patterns](/tools/phodal-prompt-patterns.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Tagline | Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt | Learn it. Build it. Ship it for others. | | Stars | 3,095 | 37,922 | | Forks | 198 | 6,329 | | Open issues | 0 | 96 | | Language | - | Python | | Adopt for | - | Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Computer Vision, LLM Frameworks | AI Agents, Computer Vision, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompt-patterns](/tools/phodal-prompt-patterns.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1207d | 15d | | Open issues (now) | 0 | 96 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/phodal-prompt-patterns/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | ## Decision facts: ai-engineering-from-scratch - **Pricing:** freemium - The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up - **Adopt for:** Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. ## Choose when ### Choose prompt-patterns if… - Tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion. - Leaner open-issue backlog (0). ### Choose ai-engineering-from-scratch if… - Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up. - Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning. - Also covers AI Agents, Developer Tools. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ## When NOT to use prompt-patterns - Last GitHub push was 1208 days ago (dormant maintenance, Mar 22, 2023). Validate activity before betting a new project on prompt-patterns. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use ai-engineering-from-scratch - If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. - When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ## Common questions ### What is the difference between prompt-patterns and ai-engineering-from-scratch? prompt-patterns: Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompt-patterns over ai-engineering-from-scratch? Choose prompt-patterns over ai-engineering-from-scratch when Tags unique to prompt-patterns: chatgpt, github-copilot, prompt-engineering, stable-diffusion; Leaner open-issue backlog (0). ### When should I choose ai-engineering-from-scratch over prompt-patterns? Choose ai-engineering-from-scratch over prompt-patterns when Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning; Also covers AI Agents, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I avoid prompt-patterns? Last GitHub push was 1208 days ago (dormant maintenance, Mar 22, 2023). Validate activity before betting a new project on prompt-patterns. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid ai-engineering-from-scratch? If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ### Is prompt-patterns or ai-engineering-from-scratch more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (37,922 vs 3,095). Stars measure visibility, not whether either tool fits your constraints. ### Are prompt-patterns and ai-engineering-from-scratch open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to prompt-patterns or ai-engineering-from-scratch? GraphCanon lists graph-backed alternatives at [prompt-patterns alternatives](/tools/phodal-prompt-patterns/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([prompt-patterns markdown twin](/tools/phodal-prompt-patterns/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/phodal-prompt-patterns-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompt-patterns or ai-engineering-from-scratch? prompt-patterns: Dormant. ai-engineering-from-scratch: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for prompt-patterns and ai-engineering-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompt-patterns trust report](/tools/phodal-prompt-patterns/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=phodal-prompt-patterns`](/api/graphcanon/graph?tool=phodal-prompt-patterns) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_