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Low-code Speed machine to application development

Low-code Speed machine to application development

by Tess Kurian, Purshottam Purswani

As per our research, Low-Code solutions have the potential to drive innovation, digitize & automate business processes at speed and scale, acting as a “game-changer” in the IT and business alignment dilemma. We deployed a low code platform to a large customer organization to build various business applications and extended it further with citizen development. The idea was to unlock the business value of the low-code approach while bridging the gap between business and IT in a sustainable & secure way. Below are the highlights of our experiences when delivering this for the customer.

Acceleration in development

  1. Speed and Agility – One of the fastest projects delivered in the Customer organization. The team could develop the applications in 4-6 weeks from inception to delivery.
  2. Lean Application Management – The application management team was lean, with less FTE needed to maintain the application.
  3. Single platform for all code and release management – Reusability of code across different business verticals, thereby reducing cost.
  4. Ready integration adapters, make it easy and reduce the complications in integrating the 3rd party systems.
  5. Road toward Citizen Development – The platform is easy to learn. Initial online training is sufficient to learn how to build a basic web and mobile application. Business owners, testers, and non-IT members quickly adapt to low code.

Challenges

  1. Low code platform upgrades – It requires careful planning and effort.
  2. Licensing of the platform – The platform licensing needs an assessment before getting into the journey to avoid surprises at the last moment.

Few things to watch out

  1. Setup of the best low code guidelines – Fast-paced development from non-IT or graduate developers not exposed to best coding practice also leads to performance degradation in the applications. For instance, screen rendering takes a long time with the amount of logic and data added to the initialization process.
  2. Low-code technical debt – The development process needs to be institutionalized to check the architecture and security best practices continuously.

Few of these challenges could be addressed by having a machine developer who continuously guides the citizen developer to highlight deviations, provide ready templates, help in developer boilerplate code for the integration. With a natural language conversational AI, it will help further in productivity and help in driving standardization.

Low Code is a good win for the business and technical team. It’s easy to follow, delivers results, and is cost-effective. Moreover, with the advances in artificial intelligence – GPT3, we see that the approach is going toward no code with the bots generating the code based on the plain English sentences using Natural Language Processing.