akashcoach
Ask HN: How to ensure that AI and automated decision tools are traceable?
My company want to introduce AI for automated decision making on insurance claims. They are asking me to make sure that any tool that we use is traceable and algorithms can be explained in case of a review/audit and to have strong governance practices in place. I am leaning towards using Natural Language Processing and intend to stay away from LLM due to their limitations with auditing etc. Any...
Ask HN: Tool to share/exchange personal and confidential files
What tool do you use to share/exchange personal and confidential files with outside organizations ? Size of the files can be large in many GBs. Security is the main concern. Tool should be web based.
Low-Code Platforms: Purpose: Low-code platforms are designed to enable rapid application development by minimizing the need for manual coding. They allow users (including non-developers) to create applications using visual interfaces, pre-built components, and drag-and-drop functionality. Target Audience: Low-code platforms primarily cater to citizen developers, business analysts, and professionals who want to automate processes or build simple applications without extensive coding knowledge. Strengths: Speed: Low-code platforms accelerate development by reducing the time spent on manual coding. Accessibility: They democratize software development, allowing more people to participate. Visual Modeling: Users can create workflows and UIs visually. Limitations: Complexity: For more complex applications, low-code platforms may fall short. Customization: Some use cases require custom code that low-code platforms cannot handle.
AI Assistants (Copilot, ChatGPT): Purpose: AI assistants like Copilot and ChatGPT are designed to augment human creativity and productivity in various domains, including coding, writing, and problem-solving. Target Audience: They primarily target professional developers, writers, and individuals seeking assistance in specific tasks. Strengths: Code Generation: Copilot assists developers by suggesting code snippets, improving code quality, and speeding up development. Natural Language Interaction: ChatGPT engages in conversations, answers questions, and provides creative content. Complementary: AI assistants complement existing skills and knowledge. Limitations: Contextual Understanding: While AI models have improved, they may not always fully understand context or domain-specific intricacies. Dependency on Input: AI assistants rely on user input; they don’t independently create applications.
Coexistence and Synergy: Collaboration: Rather than replacing each other, low-code platforms and AI assistants can collaborate. For instance: Developers can use Copilot to speed up coding within a low-code environment. Citizen developers can leverage low-code platforms while seeking guidance from AI assistants. Hybrid Solutions: Future platforms may integrate both approaches, allowing users to switch seamlessly between visual modeling and AI-generated code. Skill Enhancement: AI assistants can help citizen developers learn coding concepts, bridging the gap between low-code and traditional development.
AI assistants and low-code platforms serve distinct purposes, and their coexistence can lead to more efficient and creative solutions. The future likely involves a blend of both approaches, empowering a broader range of users to participate in software development.
Ask HN: Why use low code tools in today's world with AI assistants?
I think low code's selling point is to be able to do coding without coding knowledge as they call it "Citizen Developers". On the other hand,Github Copilot, they are selling as Your AI pair programmer and the expectation is that you have the programming knowledge. How would the future look like for low code platforms?
Ask HN: Has anyone used OrangeHRM as a HRIS solution? How was your experience?
Ask HN: How come there are no quality providers of on-premise ATS/HRMS software?
I work for a non-profit company that has almost 1000 employees and strict security policies. We need an HR solution that can be installed and run on our own network, instead of using a cloud-based service. I searched online, but I couldn’t find a definitive list of such solutions. So I want to ask the hacker news community if they have any experience with on-premise HR software that is easy to...
Ask HN: Is on-prem HR solution possible?
I work for a non profit company with almost 1000 people with some strict security policies and we are looking into a on-prem HR solution that can be deployed on company's network. A google search returns a lot of options but it is not easy to find a conclusive list. So I ask the hacker news crowd if they have used a HR solution that can be deployed on prem and is simple to manage? We are...