--- title: "Prompt-Engineering-Guide vs just-chat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-longevity-genie-just-chat" tools: ["dair-ai-prompt-engineering-guide", "longevity-genie-just-chat"] --- # Prompt-Engineering-Guide vs just-chat *GraphCanon updated Jul 12, 2026* ## Verdict Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; just-chat is Python; pick just-chat when just-chat is primarily Python; Prompt-Engineering-Guide is MDX. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [just-chat](https://github.com/longevity-genie/just-chat) has 74 stars, 13 forks, and 2 open issues, last pushed Nov 22, 2025. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [just-chat's repository](https://github.com/longevity-genie/just-chat). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [just-chat](/tools/longevity-genie-just-chat.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | Make your LLM agent and chat with it simple and fast! | | Stars | 76,349 | 74 | | Forks | 8,361 | 13 | | Open issues | 274 | 2 | | Language | MDX | Python | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [just-chat](/tools/longevity-genie-just-chat.md) | | --- | --- | --- | | Days since push | 121d | 230d | | Open issues (now) | 274 | 2 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/longevity-genie-just-chat/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Choose when ### Choose Prompt-Engineering-Guide if… - Prompt-Engineering-Guide is primarily MDX; just-chat is Python. - License: Prompt-Engineering-Guide is MIT, just-chat is Apache-2.0. - Tags unique to Prompt-Engineering-Guide: agent, ai-agents, chatgpt, deep-learning. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### Choose just-chat if… - just-chat is primarily Python; Prompt-Engineering-Guide is MDX. - License: just-chat is Apache-2.0, Prompt-Engineering-Guide is MIT. - Tags unique to just-chat: agentic-ai, ai, chat, chatbot. - just-chat ships Docker support for self-hosted deployment. ## When NOT to use Prompt-Engineering-Guide - Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. - Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ## When NOT to use just-chat - Last GitHub push was 231 days ago (slowing maintenance, Nov 22, 2025). Validate activity before betting a new project on just-chat. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Prompt-Engineering-Guide and just-chat? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. just-chat: Make your LLM agent and chat with it simple and fast!. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over just-chat? Choose Prompt-Engineering-Guide over just-chat when Prompt-Engineering-Guide is primarily MDX; just-chat is Python; License: Prompt-Engineering-Guide is MIT, just-chat is Apache-2.0; Tags unique to Prompt-Engineering-Guide: agent, ai-agents, chatgpt, deep-learning; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### When should I choose just-chat over Prompt-Engineering-Guide? Choose just-chat over Prompt-Engineering-Guide when just-chat is primarily Python; Prompt-Engineering-Guide is MDX; License: just-chat is Apache-2.0, Prompt-Engineering-Guide is MIT; Tags unique to just-chat: agentic-ai, ai, chat, chatbot; just-chat ships Docker support for self-hosted deployment. ### When should I avoid Prompt-Engineering-Guide? Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ### When should I avoid just-chat? Last GitHub push was 231 days ago (slowing maintenance, Nov 22, 2025). Validate activity before betting a new project on just-chat. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Prompt-Engineering-Guide or just-chat more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 74). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and just-chat open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, just-chat: Apache-2.0). ### Where can I find alternatives to Prompt-Engineering-Guide or just-chat? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [just-chat alternatives](/tools/longevity-genie-just-chat/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [just-chat markdown twin](/tools/longevity-genie-just-chat/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/dair-ai-prompt-engineering-guide-vs-longevity-genie-just-chat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Prompt-Engineering-Guide or just-chat? Prompt-Engineering-Guide: Slowing. just-chat: Slowing. 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-Engineering-Guide and just-chat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Prompt-Engineering-Guide trust report](/tools/dair-ai-prompt-engineering-guide/trust); [just-chat trust report](/tools/longevity-genie-just-chat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide`](/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide) - 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/_