As I hinted to in my previous blog, software creation can easily be industrialised. Today creating software is considered too hard, and having to many cognitive challenges to be industrialised – That’s one of the reasons we call it “information society”, because even though it is the ability to handle information, it is also a problem that requires huge amounts of information for a human to be able to adequately solve it. But that’s just a problem like everything else, and problems exists to be solved. And if we can reduce the requirements for information needed to create software, we can simplify and optimise the creation of software. And if we can simplify and optimise the process, we can reduce the costs. Reducing the cost, increases the profits.
In order to industrialise software creation, we first need to standardise its components like I said in my previous blog. However, more importantly, we also need to create reusable components, that are prefabricated smaller pieces of logic, that we can later assemble to a whole, using an assembly line production mindset. When Henry Ford industrialised the creation of cars, his workers would simply pick components from his storage, and simply orchestrate these components together, which of course is why he could optimise the process to such a degree as he accomplished. These components could be for instance the car’s gearbox, its lights, the seats, etc. If you picked any one of these individual components and looked inside of it, it would contain complexity that from an individual point of view, would dwarf the capability necessary to assemble, for most of his individual workers. For instance, changing the lights of your car today, implies taking a prefabricated box, containing possibly 100+ different parts, with 100+ different chemical components. However, the casing that contains the lights, have been preassembled together, such that it can simply serve as a drop in replacement for your old light casing. This allows a technician to treat the lights to your car as a single object, ignoring the facts that there are Wolfram and hundreds of other complex parts inside of it.
Software can just as easily be broken down into such components too. For instance, how many times have you implemented a piece of logic that allows a user to be authenticated and authorised towards your website? Authorisation and authentication requires hundres, if not thousands of different components to work together perfectly. It requires at least two different cryptographically secure hashing algorithms, such as BlowFish and Sha512. It requires a secret salt, in addition to a per-user based salted storing mechanism of passwords. It requires the ability to do CRUD operations towards a database, etc, etc, etc. If you know everything related to auth, you could easily consider yourself a “computer scientist” – And acquiring knowledge about everything related to auth, would often imply almost a decade of university classes before you could confidently implement a secure auth system.
The above authentication and authorisation example can easily be componentized however, into a reusable authentication and authorisation component, serving all the auth requirements for all of your apps. Facts are, any individual organisation only need one authentication process and one authorisation repository. So why do most apps have their own solutions to these problems? If you created such a component, none of its consumer would need to have even the faintest idea about what neither Sha512, nor BlowFish, or even salts for that matter even are. This auth system simply produces a simple JWT as its output, if the authentication is successful, for then to allow the system having auth requirements to consume this simple token to verify the user is who he or she claims to be. Either the auth “ticket” is valid, at which point the user should be granted access – Or it is invalid, at which point the user should be denied access. We have now “componentized” the auth problem, and can reuse the same auth component, for an eternity, without ever having to even look into its internals for as long as we live. The cognitive requirements of creating a secure software system, has dropped by one order of magnitude.
When we are done with auth, we can move onto the next problems; Email for instance. How many different email components does an organisation need, really? How many times have you written new SmtpClient() in your apps? How many times have you retrieved configuration settings from your configuration file to configure your SMTP server object? Having more than one piece of code doing this within any organisation, is arguably madness – Because it adds to your organisation’s technical debt.
When you are done with auth and email, you can simply proceed forward, until you have created reusable components out of every single individual problem – At which point your task as a “software assembler”, becomes simply to orchestrate components together, that in their combined results creates your end products – Whatever that happens to be. You have eliminated somewhat 90% of your coding and cognitive requirements to “create software”, possibly even 100%, and the task of creating software implies simply orchestrating together prefabricated components, resulting in your end product.
Really, understanding this isn’t rocket science exactly …