Where Does Bad Code Come From?
Molly Rocket
42 min, 21 sec
A detailed exploration of the origins of bad code and how programmers' mental models contribute to it.
Summary
- Programmers' mental models and 'filter processes' are trained on abstract concepts rather than real-world metrics, leading to 'bad code'.
- The talk criticizes current teaching methods which focus on principles like 'SOLID' that don't correlate to measurable improvements in software.
- A proper approach to avoid bad code should involve measurable metrics that directly impact development time and software performance.
- The speaker proposes a new acronym, 'WARMED', focusing on Writing, Agreeing, Reading, Modifying, Executing, and Debugging code, to replace unmeasurable 'clean code' practices.
Chapter 1
Introduction to the video and promotion of the Kickstarter for a graphic novel called 'Meow the Infinite'.
- The video marks the end of a series of Kickstarter promotional videos.
- The speaker encourages viewers to check out and support the Kickstarter for a graphic novel.
- The video is a two-part series including a lecture and a Q&A segment.
Chapter 2
Introduction of the lecture topic about the origin of bad code, given to a company named infuria.io.
- The lecture aims to provide a general audience answer to the question of where bad code comes from.
- Several topics were suggested by the company, many relating to the issue of code growing out of control.
Chapter 3
An overview of the widespread issues in software development such as overcomplicated code bases and performance issues.
- Software today is often characterized by excessive lines of code, fragile build systems, and dependencies that complicate maintenance.
- Even with powerful computers, software build times can be excessively long, and the resulting applications often perform poorly.
- The industry continues to produce software that is not only resource-intensive but also buggy, despite technological advancements.
Chapter 4
An attempt to define bad code and the importance of having a specific understanding of the term.
- Bad code is discussed in the context of software potential versus the current state of software engineering.
- The speaker argues that bad code is not necessarily tied to financial success, but rather to the quality of the software produced.
Chapter 5
Understanding how programmers learn to code and develop mental models that guide their coding process.
- Learning to program involves developing a mental filter and generator to produce valid syntax and discard unsuitable options.
- Experienced programmers tend to produce highly regularized code due to the refinement of their mental processes over time.
Chapter 6
The speaker uses the metaphor of programmers as navigators to describe the programming process.
- Programming is likened to a journey where the programmer navigates towards a goal without a clear map.
- The outcome of the journey is unpredictable, and programmers must rely on their training and experience to reach their destination.
Chapter 7
Exploration of how programmers' training influences their approach to code, often leading them astray.
- Programmers are trained on abstract principles like 'SOLID' that do not directly relate to measurable outcomes.
- This training fails to provide the necessary tools and metrics to guide programmers in producing efficient and effective code.
Chapter 8
The speaker concludes by emphasizing the need for measurable metrics in software development and proposes a new approach.
- A new approach, summarized by the acronym 'WARMED', is proposed to focus on real-world metrics in coding.
- The current failure to measure real outcomes in programming is identified as the root cause of bad code.
Chapter 9
The video concludes with a final promotion for the graphic novel Kickstarter and a teaser for the upcoming Q&A video.
- The speaker promotes the graphic novel Kickstarter one last time, reminding viewers of the campaign's impending end.
- A follow-up Q&A video is announced for the next day, summarizing questions from the company's employees.
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