We are still at the L2 self-driving stage, as in you still need engineering knowledge to make things work and the experience is by no means “automated”. If you want the TL DR version: the maturity of LCNC tools to build applications is similar to the early days of self-driving. We hope this lens will be valuable for potential buyers of these tools and investors alike. In this Part III, we will share our hands-on experience of using some best-in-class tools to build a real application for a real world use case, in order to build an evaluation framework for all these LCNC tools. In Part I and Part II of our comprehensive Low Code No Code (LCNC) series, we explored the category’s landscape and various factors contributing to its growth. This post was originally published on Interconnected.blog in both English and Chinese on January 24, 2022. Shawn is a software engineer at TikTok, got his Masters in Human Computer Interaction at Carnegie Mellon, and writes an informative WeChat public account on SaaS called 硅谷成长攻略.
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This post is a guest contribution from Shawn Xu (no relations).
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