AI programming: software development easier, faster, more effective

With the help of suitable AI assistants, software can be developed significantly more efficiently than before. The limiting factor is no longer primarily the existing expertise, but the desire with which developers work. Inept developers will still not provide good solutions. Companies can produce programs, websites, and apps in an extremely efficient manner with just a few experts.

Introduction

In this article, the limiting factors in software development today are presented. Today is the age of AI. Whoever thinks AI is dumb or a parrot token, hasn't heard the shot yet or explains everything with an intelligence simulation. Everyone else learns how extremely fast and fun-filled programs, websites, and apps can be created with the help of AI.

For companies, this means the following:

Software is created

much faster,
much cheaper,
much easier,
with many more features

than before, provided an expert (or a few experts) use the right tools.

The core of success is: Reducing energy expenditure! In a nutshell, the solution is:

Development teams should be prioritized for projects where their skills are within their comfort zone.

Furthermore, software can become safer and better when AI is used. As keywords, automated test cases (Unit Tests) and automated vulnerability analyses should be mentioned. With locally operated AI systems, ChatGPT or Azure can be dispensed with, which simplifies compliance with AI Act even further.

How many of you are familiar with the following situation?

You need to get something done. Now there are two possibilities:

In a few minutes with simple steps bring about the solution, or
Find the solution in half the time by thinking.

Almost everyone chooses option 1, even though (simplified here) it takes twice as much time as option 2 – because people are comfortable and lazy.

It's the same with Software Developers. They prefer copying and pasting x lines into a text file and then quickly modifying each line instead of writing a small program that would accomplish this task in the end more efficiently. Why? Because it is so exhausting to write a helper program, from which the programmer in advance does not know if it will work correctly.

Now there is a solution that makes developers happy: AI programming.

AI programming

Software is often not developed at all or is delayed. It is not created at all if it is not started or the budget or time is exhausted too early or a subjectively unsolvable problem arises or priorities shift. Software is created late if the developer or the IT team what given more time than would have been realistically necessary, or for other reasons that occur again and again in practice.

The dilemma can be illustrated as follows:

FORMULA

Probability of a software solution =

1 / (time required × complexity × energy consumption × (1 + energy use above comfort zone))

≡

Probability of a software solution = efficiency × simplicity × energy economy Exceeding the comfort zone

⚙️

Software is therefore created at all or within a reasonable time or reasonable cost if

development takes place as efficiently as possible (examples: good development environment, existing setup, database already available, etc.) and
the complexity of the project does not exceed the capabilities of the developers and
each developer is sufficiently motivated to bring about the solution and
every developer feels comfortable (work-life balance, etc.).

At Work-Life-Balance, companies can't change much. They try it and think that's it. But it's not. Developers want either to work from home (Remote) or in the company. Then they try to make the workplace attractive. Whether a flipper machine, free coffee or an open office space will help, is doubtful.

The motivation of a developer depends among other things on the fun at work, which in turn depends among other things on the complexity of a task. Some like challenges. Most developers don't want to crack extremely hard nuts every day. They feel good when they can go into the weekend and know: "This week I have solved all important problems or can solve them easily next week (within the deadline)".

Specifically, the following parameters determine the success of a software project and influence the fun factor for developers:

Explanation of parameters:

⏱️Time required: The time needed to develop a solution. The more time required, the lower the probability of successful implementation.
🧩Complexity: The degree of difficulty of the problem. As complexity increases, the probability of success decreases.
⚡Energy consumption: The technical and mental energy required for development. Higher consumption means lower probability of success.
😓Energy expenditure beyond comfort zone: The degree to which developers must go beyond their comfort zone. The further outside the comfort zone they have to work, the lower the probability of success.

Inversions in the numerator (simplified formula)

By inverting the original parameters, we obtain positive influencing factors in the numerator:

Explanation of the inverted parameters:

🚀Efficiency (1/time expenditure): The speed at which a team can develop solutions. Higher efficiency leads to a higher probability of success.

🧠Simplicity (1/complexity): The clarity and structure of the problem. Simpler problems have a higher probability of being solved.

🔋Energy economy (1/energy consumption): The ability to achieve maximum results with minimal resources. Better energy economy increases the probability of success.

😌Comfort zone transgression (1/(1+energy input above comfort zone)): The degree to which a solution lies within the team's competencies. Solutions that are closer to the core competency have a higher probability of success.

Compare the above formula in its two variants.

The core of it all is the energy a software developer must invest to achieve a result. Energy is something other than work. Energy is performance times time investment.

Without AI programming, both performance and time expenditure are high.

With AI programming, human performance is ideally low because the AI programming system performs the main work. This also reduces the time required.

But it gets even better: What is work from the perspective of an IT person?

work is:

sit down at the workstation beforehand,
switch on the computer (PC or laptop),
then wait for it to boot up,
to start the development environment,
thinking and programming,
to test,
stop working,
to have as much fun as possible ("leisure time"), to eat, to sleep,
to start from the beginning ("Eat, Work, Sleep, Repeat").

Those days are over, at least for the team at Dr. GDPR. Because we develop with AI.

For software developers, work has recently become

lying on the sofa and listening to music, watching TV or doing other things that don't require your hands,
to let a small wonder called software emerge on the tablet (Example 1, Example 2, Example 3),
to enjoy the day/evening,
soon to reap the fruits of your "labor" and effortlessly put the fruits of your labor into a basket = "programming" = "assembling" = putting together = a fairly simple activity that takes little time,
From front to start (“Eat, Fun, Assemble, Sleep, Repeat”)

The solution is:

With the help of AI programming, software can be developed so easily, quickly and incidentally that any reasonably talented developer can be transformed into a happy and highly efficient employee.

Almost any type of software can now be developed efficiently, economically and quickly:

Websites,
Web applications,
Backend programs,
Fully-fledged applications including more complex chatbots that process AI requests asynchronously and use a worker architecture,
Diagrams and animations.

All of this works for all common programming languages.

If companies want software solutions, times are better than ever.

The next steps are: