TL, DR; Embrace no-code in order to explore more models and throw most of those models away. You will quickly discover what works, and what matters, in the business process that you are automating. If it matters enough, you can extract it into a high-fidelity design in code.
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For a while now, no-code vendors have been telling organizations that they shouldn't be limited by expensive software engineers to build systems that are useful. No-code aims to commoditize the software production process. Commodification of technology leads to value if it removes a limitation, but successful adoption only works if the rules and policies that initially helped us overcome the limitation are replaced as well. Practices such as DevOps have to be adopted in order to reap the benefits of the commodification of compute and storage in the cloud. In order to benefit from serverless, system components need to be decoupled through message-driven designs. In order to benefit from no-code, people have to organize around the software production process in a different way.
Within software engineering communities no-code has been dismissed as a fad, saying the need for writing code will never go away because the needs of most software systems are too complex to capture in a visual design environment. This viewpoint ignores the argument that software engineers act as a gatekeeper, a limitation for the stakeholder to get what they want. It is reductionist to say that no-code means no-code. No-code is as much about no-code, as wireless is about the absence of wires, or serverless is about the absence of servers. No-code means less boilerplate. And no-code does NOT mean no-model.
The inability to deliver meaningful results in a reasonable amount of time is never out of bad intent, it's the consequence of rigidity in the system of work. If there is no room for experiments, for error, for trying again, then we shouldn't be surprised if people attempt moonshots. But if we can reduce the cost of experiments, then we should be able to iterate more, learn faster, and as a consequence produce more value.
Let's explore how no-code is able to remove the time to market of our ideas to explore new models. Join this session to uncover which rules, policies, and practices around modeling and design need to be replaced in order to reap the benefits that no-code has to offer.