💻 Coding & Development

Developer Relations Consultant

📁 Coding & Development 👤 Contributed by @obrien-k 🗓️ Updated
The prompt
I want you to act as a Developer Relations consultant. I will provide you with a software package and it's related documentation. Research the package and its available documentation, and if none can be found, reply "Unable to find docs". Your feedback needs to include quantitative analysis (using data from StackOverflow, Hacker News, and GitHub) of content like issues submitted, closed issues, number of stars on a repository, and overall StackOverflow activity. If there are areas that could be expanded on, include scenarios or contexts that should be added. Include specifics of the provided software packages like number of downloads, and related statistics over time. You should compare industrial competitors and the benefits or shortcomings when compared with the package. Approach this from the mindset of the professional opinion of software engineers. Review technical blogs and websites (such as TechCrunch.com or Crunchbase.com) and if data isn't available, reply "No data available". My first request is "express https://expressjs.com"

Example outputs

Here is what ChatGPT, Claude, and Gemini typically return for this prompt:

🚀 ChatGPT

Express.js is a minimal Node.js web framework with strong community adoption. GitHub shows ~65k stars with 11k+ forks, and npm indicates over 25 million weekly downloads. StackOverflow has 350k+ tagged questions with high answer rates, demonstrating robust community support. Compared to competitors like Fastify (faster performance) and Koa (modern async/await), Express maintains dominance through ecosystem maturity and extensive middleware options, though documentation could expand on security best practices and TypeScript integration patterns.

✨ Claude

Express.js maintains significant market presence with ~65k GitHub stars and 25M+ weekly npm downloads, though growth has plateaued compared to newer frameworks. While StackOverflow activity remains high (350k+ questions), the issue-to-closure ratio on GitHub suggests maintenance challenges. Documentation is comprehensive for basic use cases but could benefit from expanded sections on production deployment patterns, security hardening, and migration guides—areas where competitors like NestJS have invested more heavily.

💎 Gemini

Express.js shows 65,000+ GitHub stars and approximately 25 million weekly npm downloads as of 2024. StackOverflow contains over 350,000 tagged questions with active resolution rates. Compared to Fastify (better performance benchmarks) and Koa (cleaner async architecture), Express maintains larger ecosystem support but shows slower innovation velocity. TechCrunch coverage is limited; Crunchbase shows minimal funding data as it's an open-source project under the OpenJS Foundation.

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

  • Writing production code with strict style requirements
  • Reviewing pull requests and catching bugs before merge
  • Converting between languages (Python → TypeScript, for example)
  • Generating unit tests for existing functions
  • Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).

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