Have you ever encountered issues with the built-in automated testing of low-code/no-code tools? How did you solve the problems you ran into?
VP of IT in Finance (non-banking), 10,001+ employees
Yes, multiple times. The ovecame it by using customized templates and API integrations.CIO in Education, 201 - 500 employees
We are still in the early adoptive stages of low/no-code tools. So far, we have not run into any issues, maybe because our applications are not very "heavy" on resources.VP in Construction, 51 - 200 employees
Yes
The issue of flexibility.
When working with complex and difficult cases, low-code/no-code tends to be rigid and restrictive, especially when you are expecting a desired result and output.
It is difficult to resolve this issue, but working with some templates helped resolve the issue
Director of IT in Manufacturing, 201 - 500 employees
Manual testing still plays a crucial role in ensuring the quality of your low-code/no-code applications, If the built-in testing capabilities of your low-code/no-code platform are limited, consider utilizing external testing tools and frameworks that can integrate with your applications, Look for tools that offer integration options or provide APIs for interacting with your low-code/no-code applications.Content you might like
Yes, that’s part of coding effectively87%
No, someone else can handle testing13%
77 PARTICIPANTS
CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.Senior Director, Technology Solutions and Analytics in Telecommunication, 51 - 200 employees
Palantir FoundryOften, we regularly delay to fix issues/bugs9%
Sometimes, we’re not opposed to delays but try to avoid them73%
Never, we follow a fail-fast model13%
Not sure2%
Other (comment below)2%
86 PARTICIPANTS
Senior Data Scientist in Miscellaneous, 1,001 - 5,000 employees
Under https://slashdot.org/software/large-language-models/on-premise/ there are 42 on-premise alternatives listed. Some of them (e.g. GPT-J and GPT-NeoX from EleutherAI) are already around for quite a while.