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Chapter 3

Working Code Isn't Enough(Strategic vs Tactical Programming)

One of the most important elements of good software design is the mindset you adopt when you approach a programming task
Many organizations encourage a tactical mindset, focused on getting features working as quickly as possible.

3.1 Tactical programing

Most programmers approach software development with a mindset I call tactical programming\

  • In the tactical approach, your main focus is to get something working.
    • such as a new feature or a bug fix.
  • As a result, it makes it nearly impossible to produce a good system design

The problem with tactical programming is that it's short-sighted. If you're programming tactically, you're trying to finish a task as quickly as possible.

  • This is how systems become complicated. Complexity is incremental. Thus, the longer the team continues this, the more it is the complexity of the project
  • The complexities accumulate rapidly, especially if everyone is programming tactically.

Almost every software development organization has at least one developer who takes tactical programming to extreme: a tactical tornado.

  • Tactical tornado is a developer who often finishes its job way faster but in a tactic manner.
    • So other developers left behind needs to clean up its mess.
  • Don't be this kind of developer

3.2 Strategic programming

The first step towards becoming a good software designer is to realize that Working code is not enough
It's not acceptable to introduce unnecessary complexities in order to finish your current task faster.

  • Most of the code in any system is written by extending the existing code base, so your most important job as a developer is to facilitate those future extensions.
  • Your primary goal must be to produce a great design, which also happens to work.
    • This is strategic programming

Strategic programming requires an investment mindset. Rather than taking the fastest path to finish your current project, you must invest time to improve the design of the system.

  • This investment will slows you down in a short term, but it will speed up in long term as a team.

It's worth taking a little extra time to find a simple design for each new class; rather than implementing the first idea that comes to mind, try a couple of alternative designs./ Writing good documentation is another example of proactive investment(type, wiki, comment, etc.)

  • No one is perfect. Thus, you will find some problem in your design decisions.
    • You should fix then rather than ignore or patch around it.
    • It will continually make small improvements to the system design. This is opposite of Tactical Programming

3.3 How much to invest?

So, what is the right amount of investment? The best approach is to make lots of small investments on a continual basis.

  • The arthur suggests spending about 10-20% of the total development on investments

Strategic vs Tactical in image

image info

Conversely, if you program tactically, you will finish your first projects 10–20% faster, but over time your development speed will slow as complexity accumulates. It won’t be long before you’re programming at least 10–20% slower.

  • You'll quickly give back all of the time you saved at the beginning if you do to tactic programming.

3.4. Startups and investment

Typically in startups, feel tremendous pressure to get their early releases out quickly. In these companies, it might seem that even a 10–20% investment isn’t affordable.
As a result, They rationalize this with the thought that, if they are successful, they’ll have enough money to hire extra engineers to clean things up.

  • Once a code base turns to spaghetti, it's nearly impossible to fix.
    • The company will pay high development costs for the life of the product.

The best way to lower development costs is to hire great engineers: they don’t cost much more than mediocre engineers but have tremendously higher productivity.

3.5 Conclusion

Good design doesn’t come for free. It has to be something you invest in continually, so that small problems don’t accumulate into big ones.

  • Good design eventually pays fo itself, and sooner than you might think.
  • The longer you wait to address design problems, the bigger they become; the solutions become more intimidating.