Knowing what your users need without having users
History / Edit / PDF / EPUB / BIB / 2 min read (~276 words)I need to know what the users of my library need, but I don't have any users yet. What should I do?
When you are defining who your target audience is, it can be rather difficult to decide who your users will be. If you've been building capabilities in a certain domain for a while and can solve specific problems with those capabilities, then you will likely want to look for users that may have those problems. You may even end up creating personas or prototypical users who have the problems that your library might solve.
Once you've established those prototypical users, you should try to find them in person and confirm your assumptions. You do not want to be building features that they don't need. In the event you cannot get access to any real users, you can still make use of user proxies. User proxies are people that can somewhat act as the true end-users, but are not the true end-users, so that you have to be careful about what they tell you they need since it is likely to be biased by their actual position. Some potential user proxies are:
- The users' manager
- Salespeople
- Domain experts
- Former users
- Customers
- Trainer and technical support
- Business or system analysts
In User Stories Applied: For Agile Software Development, Mike Cohn suggests to use more than one user proxy to mitigate the bias from any specific user proxy. Make sure that the user proxies are of different types. This technique is comparable to using ensembling in machine learning.
Working on the most important task
History / Edit / PDF / EPUB / BIB / 1 min read (~165 words)Why aren't we always working on the most important task?
For bad reasons:
- We don't want to work on the most important task.
- The most important task feels overwhelming.
- The most important task seems too risky.
- The most important task doesn't seem fun to work on.
- We want to work on fun tasks, not hard tasks.
- We want to work on what interests us, not what provides the most value.
- We think that the task we're working on is more important, but it isn't.
- We don't know how to solve the most important task.
For acceptable reasons:
- We don't know what is the most important task at the moment.
- We don't understand what is important to our clients.
For good reasons:
- The most important task has prerequisites that need to be completed before it can be done.
- The most important task is being done by someone else already.
- The importance of tasks is likely to change soon due to a change in objectives.
I want to analyze a python script to extract something from it. How do I do that?
Python has an abstract syntax tree like most programming language.
You can use the ast module to parse a string that contains the code you want to analyze.
A simple example is as follow. It will read a file defined in the file
variable, use ast
to parse it, returning a tree
that can then be traversed using the visitor pattern. Defining visitors lets you separate the responsibility of each of them, making the code that analyzes code easier to understand.
import ast
class ClassVisitor(ast.NodeVisitor):
def visit_ClassDef(self, node):
# Do some logic specific to classes
self.generic_visit(node)
class FunctionVisitor(ast.NodeVisitor):
def visit_FunctionDef(self, node):
# Do some logic specific to functions
self.generic_visit(node)
visitors = [
ClassVisitor(),
FunctionVisitor()
]
with open(file, "r") as f:
code = f.read()
tree = ast.parse(code)
for visitor in visitors:
visitor.visit(tree)
When to abandon pull requests
History / Edit / PDF / EPUB / BIB / 2 min read (~224 words)When is it appropriate to abandon a pull request?
Assuming that this is in a business context, you should abandon working on a pull request if getting the pull request merged is taking away too much time from others and it requires a lot of additional changes, creating a lot of back and forth between the creator and the reviewers.
You should abandon it if the feature/bug it fixes is not important enough compared to other more important ones. One should always work on the most important task rather than to work on tasks of lower importance. Furthermore, working on low importance pull requests will also "force" your coworkers to review those low importance pull requests, reducing the overall productivity. As such, always think of the impact you will have on others.
Many developers often think that bugs are of the utmost importance and should be fixed as soon as possible. However, implementing a good fix might require a lot of effort on the part of the person that will fix the issue, as well as a good amount of effort on the part of the reviewers which could have spent their time on features or bugs that are more important. Like anything else, bugs should be prioritized based on how important they are, not just that they are a bug.
Why do we reinvent the wheel?
It is very common for developers to want to develop things themselves instead of reusing existing code. They prefer to know how it works so that if they need to make changes to the code, they know where to do it since they wrote it themselves. If they are lucky, they've been given a narrow set of initial requirements that could be fulfilled by a more complex/complete library, but they think that they can do it themselves or do it better. Thus they build themselves a square wheel.
One of the positive sides of developing something that already exists is that you can get a good understanding of what is required without having to consider all the other parts which may be required for other use cases. You're also free to explore the aspect of the problem that you find interesting or challenging.
One of the negative sides is that if you work on your own square wheel for a while, you never end up learning a library that might prove more useful. You also do not acquire the skill of learning new libraries and their strengths/weaknesses, as well as how you could help to improve them. Sometimes however by reading an existing library you will come to the conclusion that fixing said library is likely to take you more time than writing a new one.
In my experience, the main reason that has led me to write something from scratch even though I had access to code that partially did what I wanted was because:
- the library wasn't able to sell me on the reasons I should use it instead of doing it myself, while I considered implementing the solution myself to be somewhat easy.
- the code (organization, style) was so messy that fixing it would require more time than rewriting it after understanding the core concepts.
- the library was not maintained anymore.
- using the library would make my workflow slower.