You’re starting a new coding project. How do you know which tools to use? Choosing the right tools can make a big difference in your productivity, efficiency, and quality of your code. In this article, you’ll learn some tips and criteria to help you decide which tools to use for your application development project.
Before you dive into coding, you need to have a clear idea of what you want to achieve with your project. What is the purpose, scope, and functionality of your application? What are the requirements and specifications of your target users and platforms? What are the features and benefits that you want to offer? By defining your goals, you can narrow down your options and focus on the tools that suit your needs.
The flexibility of open source documents and online community in this era makes starting a new project less tedious. Exploring people's GitHub repositories can help you setup your own project and try and learn new language/framework. It also helps in choosing which is the best framework or language. We should also focus on scalability, scope and complexity of the project for future applications.
Creo que lo más importante al inicio de todo proyecto, es interpretar correctamente lo que el cliente quiere. Luego, viene la etapa de analizar y proponer, lo que realmente es necesario.
If you start your own project, then you have to define your goals but in more general terms it's very important to understand what is the business value that the project should create. Driven by this knowledge you can now start picking the best tools to achieve this value.
Once you have your goals in mind, you can start researching the available tools for your project. To learn more about the pros and cons of different tools, you can use online resources such as blogs, forums, reviews, tutorials, and documentation. Additionally, you can ask for recommendations and feedback from other developers who have worked on similar projects. When comparing tools, there are several factors to consider, such as compatibility - how well does the tool work with your chosen programming language, framework, platform, and other tools? - performance - how fast, reliable, and scalable is the tool? How does it handle errors, bugs, and security issues? - ease of use - how intuitive, user-friendly, and flexible is the tool? How much time and effort does it take to learn and use it? - and support - how often is the tool updated and maintained? How accessible and helpful is the documentation and community support?
Make a shortlist of possible solutions that promise to deliver the value you need and that can be implemented in the system (e.g. same programming language). If the library is very good but uses a different platform, you could create a wrapper around this and call the library over http. This is the case where you need machine learning models but do not have the code in python. Using OpenAPI spec and code generation, you can generate the server side code stubs that are easy to connect with the library, as well as the client side code in your programs language.
After you have done your research, you should have a shortlist of tools that meet your criteria. The next step is to test them out and see how they work in practice. You can use trial versions, demos, or free plans to try out the features and functions of the tools. Additionally, you can create a prototype or a mockup of your application using the tools and evaluate the results. When testing tools, ask yourself questions such as: how easy is it to set up, configure, and integrate with your project? How well does the tool perform under different scenarios and conditions? Is it compatible with your coding style, standards, and conventions? And lastly, how much value does the tool add to your project in terms of functionality, quality, and user experience?
Based on your testing and evaluation, you can finally choose the tools that work best for your project. You don’t have to stick to one tool for everything. You can mix and match different tools for different purposes, such as coding, debugging, testing, deployment, collaboration, and so on. However, you should also avoid using too many tools that might complicate or conflict with each other. You should aim for a balance between simplicity and functionality, and choose the tools that make your project easier and better.
One thing I would suggest when choosing tools is to get feedback from your team. More often than not, choosing tools that your team is most proficient in will allow you to deliver your product or solution faster and in a much more stable state.
Choosing your tools is not a one-time decision. As your project evolves and grows, you might need to change, update, or replace your tools to adapt to new challenges and opportunities. You should regularly review and revise your tools to ensure that they are still relevant, effective, and efficient for your project. You should also keep an eye on the latest trends and developments in the application development field, and explore new tools that might improve your project.
You’re starting a new coding project. How do you know which tools to use? Now you know some tips and criteria to help you decide. Choosing the right tools can make a big difference in your productivity, efficiency, and quality of your code.
Requirements… Requirements gathering is crucial in software development as it helps define the project scope, objectives, and functionalities. It ensures that developers and stakeholders have a clear understanding of what the software needs to achieve, minimizing misunderstandings and scope creep. Properly gathered requirements serve as the foundation for design, development, and testing phases, leading to a more efficient and successful project outcome. Additionally, it helps in managing expectations, improving communication, and reducing the likelihood of costly changes later in the development process.
Ask GPTs. If you have enough experience in the language you will be working on, create a prompt detailing the product requirements, and ask any decent model to create the framework in the language of choice. Most of the time, GPT would choose the most popular frameworks and libraries to get your project up and running. Iterate over their output, and add your own stuff to create the first iteration.