smart reply to John Costa story on Linkedin: Yeste...

Promptsmart reply to John Costa story on Linkedin: Yesterday, I spent 2 hours building a feature we didn't need. This happens more often than you think, as an engineer, you play around with solutions, evaluate if they are useful, and if they are not you throw them away (maybe commit them first just in case!). But why spend this much time? Simple. I didn't make the requirements of the problem clear before I started working. The feature was simple enough, but after working on implementing it, I took a break from coding and went over some documentation and user stories. Turns out we don't need this. It is important to have a good plan in mind before you start working. Just to make sure you are working to something you actually need. A startup cannot afford to waste time building features no one uses, it is extra complexity to manage, for no to no business value. Focus on what your users want, and build the smallest solution that could solve that problem. Expand it when needed. Stay lean. Share your stories! What is your "Oh, we don't need this" moment?
ChatGPTOpenAI
smart reply to John Costa story on Linkedin: Yesterday, I spent 2 hours building a feature we didn't need. This happens more often than you think, as an engineer, you play around with solutions, evaluate if they are useful, and if they are not you throw them away (maybe commit them first just in case!). But why spend this much time? Simple. I didn't make the requirements of the problem clear before I started working. The feature was simple enough, but after working on implementing it, I took a break from coding and went over some documentation and user stories. Turns out we don't need this. It is important to have a good plan in mind before you start working. Just to make sure you are working to something you actually need. A startup cannot afford to waste time building features no one uses, it is extra complexity to manage, for no to no business value. Focus on what your users want, and build the smallest solution that could solve that problem. Expand it when needed. Stay lean. Share your stories! What is your "Oh, we don't need this" moment?
Great story, John! It’s a perfect reminder that sometimes the best code is the code you don’t write. Clarifying requirements upfront not only saves time but also keeps the product lean and focused. I’ve had my share of “build, then realize” moments—each one a valuable lesson in the art of balancing speed with precision. Thanks for sharing and encouraging us to keep the user’s needs front and center!
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ClaudeAnthropic
smart reply to John Costa story on Linkedin: Yesterday, I spent 2 hours building a feature we didn't need. This happens more often than you think, as an engineer, you play around with solutions, evaluate if they are useful, and if they are not you throw them away (maybe commit them first just in case!). But why spend this much time? Simple. I didn't make the requirements of the problem clear before I started working. The feature was simple enough, but after working on implementing it, I took a break from coding and went over some documentation and user stories. Turns out we don't need this. It is important to have a good plan in mind before you start working. Just to make sure you are working to something you actually need. A startup cannot afford to waste time building features no one uses, it is extra complexity to manage, for no to no business value. Focus on what your users want, and build the smallest solution that could solve that problem. Expand it when needed. Stay lean. Share your stories! What is your "Oh, we don't need this" moment?
Here are a few smart reply options:

Option 1 (Relatable + Actionable):
"Been there! My 'aha' moment was spending a whole day building an elaborate caching system... only to realize our traffic was nowhere near needing it 😅 Now I have a simple rule: write the problem statement in one sentence before touching code. If I can't explain WHY we need it clearly, it's probably premature optimization."

Option 2 (Strategic + Experience-based):
"This resonates! I once built a complex user permission system thinking 'we'll need this eventually' - spoiler: we didn't. The real cost isn't just the 2 hours building it, but the mental overhead of maintaining dead code. Now I'm obsessed with the question: 'What's the simplest thing that could possibly work?' Great reminder, John!"

Option 3 (Community-focused):
"Classic engineering trap! My favorite 'we don't need this' story: spent hours optimizing a database query that ran once per day 🤦‍♂️ The silver lining? These 'failed' experiments often teach us more about the problem space than successful features. Sometimes the most valuable code is the code you don't write."

Each reply acknowledges his experience, shares a relatable story, and adds value to the conversation while keeping it concise and engaging.

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GeminiGoogle
smart reply to John Costa story on Linkedin: Yesterday, I spent 2 hours building a feature we didn't need. This happens more often than you think, as an engineer, you play around with solutions, evaluate if they are useful, and if they are not you throw them away (maybe commit them first just in case!). But why spend this much time? Simple. I didn't make the requirements of the problem clear before I started working. The feature was simple enough, but after working on implementing it, I took a break from coding and went over some documentation and user stories. Turns out we don't need this. It is important to have a good plan in mind before you start working. Just to make sure you are working to something you actually need. A startup cannot afford to waste time building features no one uses, it is extra complexity to manage, for no to no business value. Focus on what your users want, and build the smallest solution that could solve that problem. Expand it when needed. Stay lean. Share your stories! What is your "Oh, we don't need this" moment?
Okay, I will generate a few smart reply options for the LinkedIn post.

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💡 Try this comparison yourself:Compare AI models side-by-side on SNEOS

Analysis

This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:

Response Characteristics

ChatGPT: Provides a direct response with 5 sentences.

Claude: Provides a direct response with 16 sentences.

Gemini: Provides a direct response with 1 sentences.

Key Takeaways

  • Each model brings unique strengths to this type of query
  • Response styles vary significantly between models
  • Consider your specific use case when choosing between these models

Try This Comparison Yourself

Want to test these models with your own prompts? Visit SNEOS.com to compare AI responses side-by-side in real-time.

This comparison was generated using the SNEOS AI Comparison ToolPublished: September 15, 2025 | Models: ChatGPT, Claude, Gemini