33rd Degree 2014 — Day 3

The last day was a bit shorter for us because we had to get back to home and also decided to do some networking instead of one talk, but still, we have some interesting takeaways from the talk we participated in and

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a few conclusions.

Based on the above, you could think this day has been just a placeholder but nothing further from the truth! The best talk of the conference happened during the day 3, so it was worth every minute!

But first things first…

Test for better code or coding for better tests? by Luca Milanesio

One good thing: you could think – ah, yet another TDD talk. Not really! Luca claimed in this a bit controversial

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talk that we actually should not test everything. It’s kinda opposite to what almost everyone recommends, but it’s hard not to agree with some of Luca’s points.


  • We trust tests but we are not sure they’re correct:
    • Red means the test fails, but we can’t be sure the test is correct
    • We can’t test the test
    • Test can’t be tested but we need to be sure it’s valid
  • The only way to have less bugs is to write less code
  • Longer test contains more bugs too
    • Ideal size of the test — about 3 lines, so test should be short.
  • We can trust what we understand, test should be readable.
  • Test should be repeatable. No random values.
  • Test should be traceable to the requirement. If it fails, you need to know what stops working.
  • Tests should fail nicely if you comment out the code. They should fail, not throw an exception.
  • Reading code is more than reading books. Writing code is more
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  • Test too complex to write? Kill the test if the code is clean.
  • If Time/Cost with TDD is not smaller than time/cost without TDD, then you’re doing it wrong.
  • Size of the test should be smaller than size of the code.
  • Do the code reviews.
  • Make sure the code is readable by other people. Scala, Groovy and other powerful languages cause the danger, because it’s easy to produce very cohesive, but terse code that is unreadable for others.

Demystifying invokedynamic by Venkat Subramaniam

People who have attended “Busy Java Developer’s Guide to JVM Bytecode” by Ted Neward on day 2 definitely had an advantage here because while Ted described all three invocation methods of the JVM (invokespecial, invokevirtual and invokedynamic) – Venkat was focusing only on invokedynamic and how it is used to support dynamic bytecode and languages like Groovy or Scala and how they use it to leave out typing until runtime. In a nutshell this can be achieved because the language Java is typesafe but the generated bytecode is not.

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  • But first we stepped back a little and wondered how we could add dynamic typing to a Java application. The first thing that came to your head is that you can use reflection in order to dynamic behavior. But it is a poor tool, because starting from JDK 7 the JVM itself provides java.dyn.MethodHandle
  • MethodHandles.Lookup vs reflection
    • method handles more efficient because access at lookup time instead of invocation time
    • method handles API requires pretty specific knowledge of signature, unlike reflection
  • Multimethods – call method not only on target type, like in polymorphism, but
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  • Invokedynamic was originally intended to help other languages on JVM, but it became the main feature of Java 8.
  • So how is invokedynamic used for adding dynamic nature. Venkat compared invokedynamic with teenagers asking for something: “Can I go
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The Joy of Functional Programming by Venkat Subramaniam

Simply speaking — the best talk of the conference! Even if there would be nothing more on 33rd Degree 2014, it’d still be worth to go for it!

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Venkat performed a perfect show. He even invited an attendee to the stage, so

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it actually become two-actors performance.

What’s even better — despite this show-like atmosphere, Venkat managed to transfer a lot of valuable, technical informations.

Just perfect!

  • Lambda expressions (ancient invention) are new way in Java to define how to do things, not what to do.
  • Mainstream does not mean the best. Starting from geocentric theory to procedural programming to OOP 🙂
  • Pure functions
    • Referential transparency — if the input is the same, the output is the same
  • Imperative programming is like working with toddlers, functional programming is like working with responsible adults 🙂
  • Tell don’t ask principle. Do not ask for data and operate on them. Rather tell object to do something on the data.
  • Imperative style hides error, i.e. if we operate on a collection, we need to consider an empty one case. FP handles it automatically.
  • A good code should read like a story, not a puzzle
  • Functional programming provides lazy evaluation — i.e. Stream
  • Parallel execution is finally no brainer!

Thoughts and Summary

Venkat’s talk on functional programming was the last one for us. So… what do we think about the conference in general? Let’s summarize it by pointing out pros and cons.


Venkat. One name that defines a good conference 🙂 You actually don’t need much more to enjoy event like this. We participated on all Venkat’s talks and they were great. Kudos!

Day 2. If we would have to chose only one day of the entire conference, we’d chose the second one. It was just awesome. Full of valuable content and technical informations.

Working WiFi. It sounds funny, but it was actually working! Not an easy task if you have to handle 1200+ geeks with 1+ device per each 🙂

Tokens for lunches. Again, strictly organizational stuff, but how important! We went to Geecon a few years ago and it was an actual problem there. Some attendees got a lunch twice, some never. Simple solution — that’s what developers like 🙂


The same talk twice. As we mentioned — Agile Value Delivery by Tom Glib was pretty same as Agile Software Engineering by the same speaker. It’s pretty unacceptable.

“Where’s your architecture?” talk. Pure ad of an expensive product.

Talks clash. Sometimes there were many interesting talks in the same time, sometimes there was nothing valuable to chose from (at least based on descriptions/titles).

No time for discussions. It would be nice to have time to talk about some topics. However, schedule was so tight that it was almost not possible.

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