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Considerations to make when evaluating Open Source software or packages.
07 December 2021
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Considerations to make when evaluating Open Source software or packages.
Solutions architecture shouldn’t be just about building technology to address your pain points. To construct lasting solutions, you should always first frame your problem to ensure the one you are embarking to solve is the right problem rather than the obvious one(s).
No one wants their idea stolen. Computers, the internet, and software are all relatively new types of intellectual property. How do you protect your digital product?
In the second edition of our series on female founders and business owners, we sat down over dinner with Bayleigh Fricky and Stephanie Hilton, of The Meetery, to discuss their journey into entrepreneurship and tech.
We have recently released our RESTful API framework: fullyAPI. It is written atop expressJS and generates a admin portal that self-documents endpoints and data models as you register them with the application during buildout.
Based on how humans perceive and process incoming information, we can make better, deliberate choices when presenting data to users so that it is more immediately understood, helpful, and easy to compare.
A top-down breakdown of system functions starting with the high-level user goals, broken down to the functional means to achieve them.
Defnition of all major feature groups needed for MVP launch. An agreed-upon list of core features.
Black & White, static, sketch framework that outlines the structure & flow of information as well as the overarching user experience as they interact with the system.
A visual representation of the various technical components of an application and how they interact at a high level.
Perform any research into the viability of features based on external or project/client, dictated constraints. Questions like: Is this possible, generally? Is this possible for my timeline and my budget?
Representation of how the data in your application’s database will be structured and related to one another. A well-planned data model is important to make future expansion of the system and features easier.
What problem are you solving and for whom? Why would someone pay for your product, download it, use it, or be loyal to it?
A product with enough features to attract early-adopter customers and validate a product idea early in the product development cycle. In other words: the minimum feature set to deliver on your value proposition.
