The Online Advertising Bubble
Jesse Frederik and Maurits Martijn:
Is online advertising working? We simply don’t know.
Bytes that get stuck in your teeth.
Think of me as a web crawler with taste.
Jesse Frederik and Maurits Martijn:
Is online advertising working? We simply don’t know.
Kacper Gunia:
(we look at) how to handle writes to two independent backends without using two-phase commits. Instead we can rely on using at-least-once delivery guarantees and ask other systems to deduplicate our messages.
Inspired by CRDTs but simpler due to the server being a central authority.
Kent Beck comparing baskets of options to product roadmaps and goals:
I’ve come to hate the damage the “product roadmap” metaphor does to the brains of everyone involved in developing a product. When I use an actual map of actual roads, I assume that I know where I’m going and how I’m going to get there. This is never the case when developing a product.
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When you encounter long lead times, you’re hearing option-on-a-basket thinking. “We need to know what features will be in the release in 8 months so Marketing has time to prepare.” What if product development doesn’t go according to plan? The value of the option on a basket falls to zero. What if the launch doesn’t come off? The value of the option on a basket falls to zero.
Gergely Orosz:
Estimates matter because most people and businesses are date-driven.
Estimation is difficult but developing it as a skill is helpful for delivering software.
Charity Majors:
it’s actually an unqualified good for engineers to be interacting with production on a daily basis, observing the code they wrote as it interacts with infrastructure and users in ways they could never have predicted.
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A system’s resilience is not defined by its lack of errors; it’s defined by its ability to survive many, many, many errors. We build systems that are friendlier to humans and users alike not by decreasing our tolerance for errors, but by increasing it. Failure is not to be feared. Failure is to be embraced, practiced, and made your good friend.
Michael Feathers:
When people have divided attention, work suffers. The area of code that you work for months is something that you understand deeply. The framework, off to the side, that you update just to facilitate your work may not seem as important. This is a function of distance: cognitive, temporal, and locational distance. In a way, these are all the same.
Gary P. Pisano:
The cliché “celebrating failure” misses the point—we should be celebrating learning, not failure.
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Without discipline, almost anything can be justified as an experiment. Discipline-oriented cultures select experiments carefully on the basis of their potential learning value, and they design them rigorously to yield as much information as possible relative to the costs.
Kent Beck:
The first step is acknowledging that our relationship is more important than the design of the system. As long as we have a productive working relationship we can move the design in any direction. When our relationship breaks down we don’t get anywhere.
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Okay, so you just want to go implement the next feature and along I come and say no no no this should be designed completely differently. Even if you are right that the new structure will eventually make my behavior changes easier to implement it’s not eventually, it’s today.
First, acknowledge that our incentives diverge in this moment. It doesn’t help to pretend that we agree when we don’t.
Second, as the structure changer I need to acknowledge that I am placing a burden of learning on you. I think it’s worth it, but if I’m asking something of you I better be prepared to offer something to you.
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Software design is a human relationship problem with interesting technical aspects. Geeks relating to geeks requires as much effort as geeks relating to their systems. Maintaining relationships may be hard and confusing and frustrating to geeks (I could be projecting here but yeah no I don’t think I am), but if you want your technical skills to matter you really have no choice but to improving your people skills.
We couldn’t just start replacing old code with new code willy-nilly; without some type of structure to keep the old and new code separate, they’d end up getting hopelessly tangled together and we’d never have our modern codebase. To solve this problem, we introduced a few rules and functions in a concept called legacy-interop:
- old code cannot directly import new code: only new code that has been “exported” for use by the old code is available
- new code cannot directly import old code: only old code that has been “adapted” for use by modern code is available.
The progressive approach to the rebuild is interesting. Especially the rules that enforced how the rewritten parts of the code base could interact with the old code they were ultimately replacing.
Richard Hamming giving advice to researchers in 1995, plenty of which serves as general career advice.
Here’s a selection:
Tiago Forte:
I often say that with knowledge workers, the biggest bottleneck is always getting up in the morning. Knowledge work requires not only our time and effort, but also our engagement and creativity. For that reason, personal motivation is the prime problem that supersedes all other problems.
Phil Calçado:
BFFs are not about the shape of your endpoints, but about giving your client applications autonomy.
Roman Imankulov:
Rough consensus relies on the distinction between two types of objections:
“Not the best choice” feedback: “I don’t believe Solution A is the best choice, because XYZ. I believe Solution B would be better, but I accept that Solution A can work too.”
Fundamental flaws: “I believe Solution A is unacceptable because XYZ.”
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A chair who asks, “Is everyone OK with choice A?” is going to get objections. But a chair who asks, “Can anyone not live with choice A?” is more likely to only hear from folks who think that choice A is impossible to engineer given some constraints. The objector might convince the rest of the group that the objections are valid and the working group might choose a different path.
John Barton:
In my very first programming role my manager said to me “You can make any mistake you like once. You’ll have my full support the first time you screw anything up. If you’re not making mistakes, you’re not learning, and if you’re repeating mistakes you aren’t either”.