Next Level Over Optimisation
Over optimisation is a common pitfall for software engineers. It is frequently categorised by a disproportionate amount of effort being spent on striving for performance levels that have yet to be proven necessary.
However a similar mindset, causing similar diminishing returns, can be seen in other areas of software engineering when too much emphasis is placed on one particular aspect of the code. Software engineers are by nature problem solvers and can often demonstrate compulsive tendencies, this combination can sometimes cause an obsession with providing the ultimate solution to a problem.
Which aspects of code, other than performance, can be over optimised? What are the down sides to the emphasis becoming obsessive.
Code Size
Engineers can full into a trap of trying to devise ways to provide the same solution with an ever decreasing amount of code. Code is not a business asset, our goal isn't to strive to increase the amount of it we have, it is to devise efficient solutions to problems using code as a tool. However measures of efficiency should also include maintainability and extensibility.
To this end there is a tipping point where decreasing the amount of code also decreases the readability. At the time this is first manifested this can seem a minor concern, you still understand how the code works, but maintainability and extensibility and long term goals they can't be derived in the moment.
The over emphasis on reducing code size can be driven from an assumption that it will drive performance and a desire to prove engineering skill by being able to do the same with less. A more pragmatic approach would recognise that the performance benefits, if they do actually exist, are likely to have a negligible impact on users. An engineers skill shouldn't necessarily be judged on any one piece of code, we must also factor in whether that code continues to offer value over a prolonged period of time, both in the form it was originally written and by being adapted and extended over time without being re-written.
Re-Use
You will often see an engineers face light up when they realise they can re-use some previously written code in a new situation. Re-usability is a fine trait for code to have, it increases the speed solutions can be delivered and as previously stated we aren't in the code generation business so opportunities to deliver using less of it should be embraced.
But, sometimes this drives code to be declared re-useable prematurely. When this turns out not to be the case it can lead to the code that is attempting to r-use it being unnaturally bent to fit in with the underlying code, or the interface to the re-useable code degenerating over time as it is mangled to suit slightly different use cases. The fear generated by these potential outcomes can also breed a reluctance the make changes to shared code because of the potential knock on effects.
This is not an argument against code re-use, it is something that should always be strived for. But it's important to develop a sense of when code is truly re-usable and when it would create a rigidness in the code base that will ultimately serve to degrade the intended benefits of re-use. One approach to dealing with this is to not be afraid of refactoring code once the re-usability of code has become apparent, conversely when re-use is starting to cause problems don't be afraid to recognise this fact and allow responsibility for the functionality to be handed back to the consumers.
Configurability
Related to an over emphasis on re-use can be a drive to make every aspect of an area of code configurable. In order to increase the flexibility of code, and therefore open up more opportunities for its re-use, we make every aspect of its functionality configurable.
As with most topics we have discussed, configurability is an admirable quality but if its overdone it can have a negative impact on readability and maintainability. Potential users of the code are presented with a sea of possible options that they may struggle to choose from or appreciate the subtleties of. When it comes to changing the code in question this can be hampered by having to maintain support for a large number of use cases and combinations.
This problem can be addressed by not forcing users to deal with the array of options being presented by offering sensible defaults for particular use cases. If an experienced engineer, who has a good understanding of the problem domain, chooses to dig deeper they can. But consumers who simply want an "out of the box" solution need not dig this deep.
Pragmatism and practicality are important qualities for engineers. Certain aspects of code, most notably the SOLID principles, are important enough to evangelise but good code is not defined by any one measure. Code quality is also not always possible to measure in the moment, decisions made at the time of writing can have unintended consequences further down the line.
It won't be possible to avoid this kind of over optimisation, the approach to a piece of code is based on understanding of the problem at the time of writing. As this knowledge grows mistakes will be surfaced as things go in a different direction to initially anticipated. Don't fear these situations, recognise that they exist, learn to recognise the signs, and develop strategies for finding reverse gear.
Building AI-driven SEO technology for eCommerce
5 年Good post. Definitely agree with the dangers of making solutions too configurable - I've seen this a lot when features have been made to handle situations that they're never going to be used for in production, and makes them hard to maintain. What's your view on commenting in code? I've moved away from it in the past few years, and emphasised using more descriptive names within the code. From a personal point of view, I find it more productive.